Compare commits

...
Author SHA1 Message Date
Holt SkinnerandGitHub 435e6f14cd Delete notebooks/official/model_evaluation/automl_video_classification_model_evaluation.ipynb 2025-09-10 18:27:31 -05:00
Vertex MG TeamandCopybara-Service b04575d746 Fix axolotl gcs output path.
PiperOrigin-RevId: 805417425
2025-09-10 10:26:55 -07:00
Vertex MG TeamandCopybara-Service b90d16885e Weekly update the serving container version for hf-inference-toolkit and hf-tei containers.
PiperOrigin-RevId: 805081873
2025-09-09 15:12:41 -07:00
Holt SkinnerandGitHub 828f1a26fa Delete notebooks/official/pipelines/google_cloud_pipeline_components_automl_text.ipynb (#4254)
b/442906902
2025-09-09 20:43:03 +00:00
Holt SkinnerandGitHub 915e5edf0a chore: Remove AutoML Notebooks for deprecated Text and Video features (#4253)
* chore: Remove AutoML Notebooks for deprecated Text and Video features

* Remove remaining Text/Video samples
2025-09-09 16:49:06 +00:00
Vertex MG TeamandCopybara-Service 5d4c1be285 Migrate llava notebook to use Model Garden SDK
PiperOrigin-RevId: 804765256
2025-09-09 00:16:12 -07:00
Vertex MG TeamandCopybara-Service 275bfb8f69 Weekly update the vllm serving container version to 20250905_0916_RC01.
PiperOrigin-RevId: 804514266
2025-09-08 11:21:48 -07:00
Vertex MG TeamandCopybara-Service 93cb0ca3d9 Migrate blip image captioning notebook to use Model Garden SDK
PiperOrigin-RevId: 803091009
2025-09-04 10:49:28 -07:00
Vertex MG TeamandCopybara-Service 41d60d052d Add EmbeddingGemma local inference notebook.
PiperOrigin-RevId: 803038284
2025-09-04 08:30:34 -07:00
Vertex MG TeamandCopybara-Service d872cdcf7e Migrate Paligemma2 notebook to use Model Garden SDK
PiperOrigin-RevId: 802861534
2025-09-03 22:35:04 -07:00
Vertex MG TeamandCopybara-Service ada5e4a854 chore: fix google-auth and requests package version.
PiperOrigin-RevId: 802270767
2025-09-02 13:33:33 -07:00
Vertex MG TeamandCopybara-Service ecb32b099d Migrate Stable Diffusion Upscaler notebook to use Model Garden SDK
PiperOrigin-RevId: 801824204
2025-09-01 08:55:58 -07:00
Vertex MG TeamandCopybara-Service f8d09e8e9b Migrate Stable Diffusion XL Lightning notebook to use Model Garden SDK
PiperOrigin-RevId: 801782973
2025-09-01 06:06:41 -07:00
Vertex MG TeamandCopybara-Service 007df88fba Migrate Llama4 notebook to use Model Garden SDK
PiperOrigin-RevId: 801662862
2025-08-31 22:27:06 -07:00
Vertex MG TeamandCopybara-Service c70f3ef9a3 Weekly update vllm/hf-tei/hf-inference-toolkit container image versions.
PiperOrigin-RevId: 801034279
2025-08-29 14:39:29 -07:00
Vertex MG TeamandCopybara-Service 505e101452 Bug fix for Wan2.2
PiperOrigin-RevId: 800419261
2025-08-28 05:11:01 -07:00
Vertex MG TeamandCopybara-Service b77d51b58b Migrate QWEN3 notebook to use Model Garden SDK
PiperOrigin-RevId: 800346334
2025-08-28 00:57:59 -07:00
Rayan DasoriyaandCopybara-Service deaa1ccf2b Update quota check to use gcloud beta quotas info describe command
MG_DOCKER_CODES_PIPER_ORIGIN_REV_ID: 800261134
2025-08-27 19:19:54 -07:00
Vertex MG TeamandCopybara-Service f6e38860aa Update H100/H200 region recommendations in DeepSeek deployment notebook.
PiperOrigin-RevId: 799800908
2025-08-26 18:29:57 -07:00
Vertex MG TeamandCopybara-Service 4937e382b1 Bug fix for Wan2.1
PiperOrigin-RevId: 799116301
2025-08-25 07:40:20 -07:00
Vertex MG TeamandCopybara-Service 0fe2770947 Weekly update the vLLM container image version.
PiperOrigin-RevId: 798391915
2025-08-22 16:59:25 -07:00
Vertex MG TeamandCopybara-Service 80d7ee67d6 Weekly update the container version for hf-inference-toolkit and hf-tei.
PiperOrigin-RevId: 797920954
2025-08-21 14:45:09 -07:00
Vertex MG TeamandCopybara-Service f17e2d6c8d Migrate gpt-oss deploy notebook to use Model Garden SDK
PiperOrigin-RevId: 797824747
2025-08-21 10:40:45 -07:00
Vertex MG TeamandCopybara-Service ae1cd0ed08 Migrate llama3.3 deployment notebook to use Model Garden SDK
PiperOrigin-RevId: 797622523
2025-08-20 23:34:08 -07:00
denisj3030andGitHub a68b491edc dep35 (#4227) 2025-08-20 20:02:14 +00:00
Vertex MG TeamandCopybara-Service d39bed012a Migrate Controlnet notebook to use Model Garden SDK
PiperOrigin-RevId: 797349160
2025-08-20 09:37:09 -07:00
Vertex MG TeamandCopybara-Service f8c93de1c4 Migrate BLIP2 deploy notebook to use Model Garden SDK
PiperOrigin-RevId: 797131322
2025-08-19 20:34:06 -07:00
Vertex MG TeamandCopybara-Service 0b5d97aa3a use A100 machine by default for Llama3.1 fast deployment
PiperOrigin-RevId: 796788128
2025-08-19 02:51:44 -07:00
Vertex MG TeamandCopybara-Service 87f0785ed1 Migrate Segment Anything Model(SAM) notebook to use Model Garden SDK
PiperOrigin-RevId: 796693389
2025-08-18 20:55:11 -07:00
Vertex MG TeamandCopybara-Service 09c8ea616b Weekly update the vLLM container image version.
PiperOrigin-RevId: 796581324
2025-08-18 14:40:14 -07:00
Vertex MG TeamandCopybara-Service 6c11241cf7 Migrate BLIP2 VQA(Visual Question Answering) notebook to use Model Garden SDK
PiperOrigin-RevId: 796316856
2025-08-18 01:35:17 -07:00
Vertex MG TeamandCopybara-Service 9b7dc2e4fd Migrate BLIP2 VQA(Visual Question Answering) notebook to use Model Garden SDK
PiperOrigin-RevId: 795738195
2025-08-15 22:43:11 -07:00
Vertex MG TeamandCopybara-Service 9b3d43b1a6 Use correct notebook_util.
PiperOrigin-RevId: 794874566
2025-08-13 22:18:11 -07:00
Dustin LuongandCopybara-Service 57ee4e2eab Update Qwen3 deployment notebook with new variants and corrected model names.
PiperOrigin-RevId: 794407429
2025-08-12 22:41:45 -07:00
Dustin LuongandCopybara-Service 4d736d7992 Use correct notebook_util.
PiperOrigin-RevId: 794396544
2025-08-12 22:00:22 -07:00
Dustin LuongandCopybara-Service 69e92a650d Add gpt-oss-20b finetuning with lora on Vertex notebook.
PiperOrigin-RevId: 794317611
2025-08-12 16:57:36 -07:00
Vertex MG TeamandCopybara-Service 4ed979eec4 Migrate Stable Diffusion XL 1.0 notebook to use Model Garden SDK
PiperOrigin-RevId: 793954002
2025-08-11 23:22:40 -07:00
Vertex MG TeamandCopybara-Service 0344de8090 Wan Deployment Notebook
PiperOrigin-RevId: 793839574
2025-08-11 16:30:15 -07:00
Vertex MG TeamandCopybara-Service 83eca0f0cc Update the vLLM container image version.
PiperOrigin-RevId: 793738684
2025-08-11 11:47:34 -07:00
Vertex MG TeamandCopybara-Service 4619b272fa Migrate QwQ notebook to use Model Garden SDK.
PiperOrigin-RevId: 793694751
2025-08-11 10:05:17 -07:00
Vertex MG TeamandCopybara-Service 091fa33c01 Migrate Gemma3 notebook to use Model Garden SDK.
PiperOrigin-RevId: 793692575
2025-08-11 10:01:02 -07:00
Rayan DasoriyaandCopybara-Service 42a05c2b35 No public description
PiperOrigin-RevId: 793644258
2025-08-11 07:50:06 -07:00
Vertex MG TeamandCopybara-Service 8ac32fa42f Migrate Gemma3n notebook to use Model Garden SDK
PiperOrigin-RevId: 793583308
2025-08-11 04:09:41 -07:00
Rayan DasoriyaandCopybara-Service 0303057f11 Update the common util location in the notebooks
PiperOrigin-RevId: 793425712
2025-08-10 18:26:31 -07:00
Ravi DalalandGitHub 7ae13b346a added notebooks and dockerfiles for serving open models on vertexai using vllm custom containers (#4148)
* added notebooks and dockerfiles for serving open models on vertexai using vllm customer containers

* updated official codeowners

* fixed linting errors

* fixed linting errors

* moved notebooks

* ran linter

* fixed param type

* added some formatting

* added autoscaling configuration to model deployment

* fixed a heading

* moved notebooks and docker folder under prediction

* updated notebook repo paths

* switched to raw_predict to avoid code changes and rebuild

* removed linting errors

* fixed readme lint error

* fixed links

* removed dedicated_endpoint_enabled

* updated workdir path

* fixed cell type

* added license

* fixed linting error

* using cloud build container image build

* fixed linting issues

* fixes

* cloudbuild yaml

* fixed gemini review comments

* fixed linting errors

* fixed tpu_count type

* handled invalid device type

* optimized dockerfile run command

* updated dockerfile

* addressed review comments

* fixed linting errors

* added license to cloudbuild and dockerfile

* optimized image build code

* fixed image_name variable
2025-08-08 18:01:03 +00:00
Rayan DasoriyaandCopybara-Service 44390cbd99 Add a no-op message to check_quota if it fails.
MG_DOCKER_CODES_PIPER_ORIGIN_REV_ID: 792654121
2025-08-08 09:32:08 -07:00
Vertex MG TeamandCopybara-Service 58dab0b1bb E5 notebook
PiperOrigin-RevId: 791999324
2025-08-06 22:48:50 -07:00
Vertex MG TeamandCopybara-Service 8d36834fcd Add GPT OSS models deployment notebook.
PiperOrigin-RevId: 791864273
2025-08-06 15:17:54 -07:00
Dustin LuongandCopybara-Service 31ca3e36f4 Add Qwen3-30B-A3B instruct and thinking 2507 variants to notebook.
PiperOrigin-RevId: 791746627
2025-08-06 10:27:39 -07:00
Vertex MG TeamandCopybara-Service a72d7dc49f Fix custom dataset input for axolotl notebooks.
PiperOrigin-RevId: 791627090
2025-08-06 04:16:45 -07:00
denisj3030andGitHub 9efbd48233 cl41 (#4193) 2025-08-05 17:02:14 +00:00
Vertex MG TeamandCopybara-Service 166f0f8ce7 Update the vLLM container image version.
PiperOrigin-RevId: 790903846
2025-08-04 14:56:59 -07:00
Vertex MG TeamandCopybara-Service bd9f9675cf Add us-south1 region
PiperOrigin-RevId: 790762290
2025-08-04 08:35:53 -07:00
dependabot[bot]GitHubdependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
42ec0e6ad9 Bump urllib3 (#4173)
Bumps [urllib3](https://github.com/urllib3/urllib3) from 2.0.7 to 2.5.0.
- [Release notes](https://github.com/urllib3/urllib3/releases)
- [Changelog](https://github.com/urllib3/urllib3/blob/main/CHANGES.rst)
- [Commits](https://github.com/urllib3/urllib3/compare/2.0.7...2.5.0)

---
updated-dependencies:
- dependency-name: urllib3
  dependency-version: 2.5.0
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2025-08-01 14:29:14 +00:00
dependabot[bot]GitHubdependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
fde3d98a2a Bump requests (#4174)
Bumps [requests](https://github.com/psf/requests) from 2.32.3 to 2.32.4.
- [Release notes](https://github.com/psf/requests/releases)
- [Changelog](https://github.com/psf/requests/blob/main/HISTORY.md)
- [Commits](https://github.com/psf/requests/compare/v2.32.3...v2.32.4)

---
updated-dependencies:
- dependency-name: requests
  dependency-version: 2.32.4
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2025-08-01 14:28:53 +00:00
dependabot[bot]GitHubdependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
b83f869a44 Bump protobuf (#4175)
Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.20.3 to 4.25.8.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/protobuf_release.bzl)
- [Commits](https://github.com/protocolbuffers/protobuf/compare/v3.20.3...v4.25.8)

---
updated-dependencies:
- dependency-name: protobuf
  dependency-version: 4.25.8
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2025-08-01 14:28:28 +00:00
Vertex MG TeamandCopybara-Service b918768776 add batch prediction
PiperOrigin-RevId: 789643160
2025-08-01 00:21:30 -07:00
Eric DongandGitHub a22aceb10c refactor: Batch update icon links for notebooks/community (#4188) 2025-07-31 15:41:21 +00:00
Dustin LuongandCopybara-Service c8b53a614e Fix text in TEI notebook to change instances of nomic-ai/nomic-embed-text-v1 to Qwen/Qwen3-Embedding-8B.
PiperOrigin-RevId: 789204281
2025-07-30 23:26:39 -07:00
Eric DongandGitHub 7be7d5be44 refactor: Batch update icon links for notebooks/official (#4187) 2025-07-31 00:08:25 +00:00
Eric DongandGitHub 02a030d6f1 fix: Update the icon links (#4186) 2025-07-30 20:37:13 +00:00
Dustin LuongandCopybara-Service fc8e9e4483 Set Qwen/Qwen3-Embedding-8B as example model in TEI notebook.
PiperOrigin-RevId: 788960826
2025-07-30 10:48:47 -07:00
Eliot LaidlawandGitHub fa019e051a Add CSM intro notebook (#4178)
* notebook

* linting

* add codeowner

* Add cleanup

* fixes

* Update copyright year
2025-07-30 16:36:51 +00:00
Dustin LuongandCopybara-Service 01d513eea3 Update the deployment notebook for Qwen3 models to include Qwen3-235B-Thinking-2507 and Qwen3-235B-Thinking-2507-FP8.
PiperOrigin-RevId: 788636454
2025-07-29 15:45:43 -07:00
Vertex MG TeamandCopybara-Service 928822cc0c Remove 8-bit mode for Qwen 2.5 finetuning notebook.
PiperOrigin-RevId: 788499530
2025-07-29 10:02:42 -07:00
Vertex MG TeamandCopybara-Service 1dfb4091ea notebook reformatting
PiperOrigin-RevId: 788430948
2025-07-29 06:34:26 -07:00
Dustin LuongandCopybara-Service ffb5ea7e88 Update HF TEI serving image to use new, FEDRamp compliant container.
PiperOrigin-RevId: 788203719
2025-07-28 16:36:17 -07:00
Vertex MG TeamandCopybara-Service dd2028d76c add batch prediction
PiperOrigin-RevId: 787943651
2025-07-28 04:02:27 -07:00
Vertex MG TeamandCopybara-Service 70daf2e605 Add Qwen3-Coder notebook
PiperOrigin-RevId: 787286540
2025-07-25 16:57:44 -07:00
Vertex MG TeamandCopybara-Service 42db3643d0 Fix pad tokens for custom weights.
MG_DOCKER_CODES_PIPER_ORIGIN_REV_ID: 787196797
2025-07-25 12:14:37 -07:00
Erwin HuizengaandGitHub 66ce2fa5b7 feat: Add sample for Vertex distributed training (#4163)
* feat: Add sample for Vertex distributed training

* refactor: Move distributed training to community content and add job config

* fix: Address review comments and update files

* minor fixes in the script

* updated codeowners
2025-07-23 21:15:09 +02:00
Dustin LuongandCopybara-Service 44a63c8186 Add Qwen3-235B-A22B-Instruct-2507 models to Qwen3 deployment notebook.
PiperOrigin-RevId: 786375387
2025-07-23 12:12:28 -07:00
Vertex MG TeamandCopybara-Service a29f7a376b Wan Deployment Notebook
PiperOrigin-RevId: 786069875
2025-07-22 18:05:53 -07:00
kittyabsandGitHub 66667ea1db Update ray_cluster_management.ipynb (#4171)
Updated to the current version of Ray supported.
2025-07-22 21:40:52 +00:00
586 changed files with 14826 additions and 15213 deletions
+1
View File
@@ -29,4 +29,5 @@
/vertex_model_garden/model_oss/vllm @kathyyu-google
/vertex_model_garden/benchmarking_reports @lavraicse
/vertex_model_garden/model_oss/autogluon @lavraicse
/vertex_distributed_training/a3mega/llama-3-8b-nemo-pretraining @mstyer-google @erwinh85 @mchrestkha
@@ -0,0 +1,126 @@
# Vertex AI Training: Llama 3.1 8B pre-training using Nvidia A3 Mega VMs (H100)
This document provides a step-by-step guide for pre-training a Llama 3.1 8B model on the `en-wiki` dataset using multiple [Vertex AI Custom Training](https://cloud.google.com/vertex-ai/docs/training/overview) `a3-megagpu-8g` nodes.
We will use a custom container based on NVIDIA's [NeMo Framework](https://docs.nvidia.com/nemo-framework/user-guide/24.07/overview.html) to demonstrate a scalable, multi-node training workflow. All required artifacts and commands are included.
## 1. Prerequisites
### 1.1. Google Cloud Project setup
- **Enable APIs:** Ensure the Vertex AI API is [enabled for your project](http://console.cloud.google.com/flows/enableapi?apiid=aiplatform.googleapis.com).
- **H100 Mega Quota:** A3 Mega VMs are powered by H100 GPUs. Request quota for `custom_model_training_nvidia_h100_mega_gpus` in one of the [supported regions](https://cloud.google.com/vertex-ai/docs/general/locations#accelerator_support). If using Spot VMs, request `custom_model_training_preemptible_nvidia_h100_mega_gpus` quota instead.
- **Reservations (Optional but recommended):** For guaranteed capacity, [create a reservation](https://cloud.google.com/compute/docs/instances/reservations-shared) and ensure the reservation is shared with the Vertex AI service account. This guide requires a minimum of **16 H100 GPUs** (2 full A3 Mega nodes).
### 1.2. GCS bucket
Create a [Cloud Storage bucket](https://cloud.google.com/storage/docs/creating-buckets) in the same region where you have quota. If you're using Hierarchical Namespace for your bucket, you may need to update permissions of the Vertex AI Custom Code Service Agent .
This bucket is used for:
- Staging the training application.
- Storing model checkpoints and logs.
- Storing data if you use your own data.
## 2. Setup & configuration
### 2.1. Clone the repo
First clone the repo into your development environment.
```bash
git clone https://github.com/GoogleCloudPlatform/vertex-ai-samples.git
```
Navigate to the root folder for this sample.
### 2.2. Environment Setup
First, configure your local environment. These variables are used in subsequent commands.
```bash
# Required: Update with your values
export PROJECT_ID="<your-project-id>"
export REPOSITORY="<your-artifact-registry-repo-name>" # e.g., "my-containers"
export BUCKET="<your-gcs-bucket-name>"
# Optional: Change if needed
export REGION="us-central1"
# --- Do not change the lines below ---
export ARTIFACT_REGISTRY="${REGION}-docker.pkg.dev/${PROJECT_ID}/${REPOSITORY}"
export REPO_ROOT=$(git rev-parse --show-toplevel)
```
## 3. Build and push a docker container image to Artifact Registry
Normally, you can use any custom training container on Vertex AI Training. In this example you build a NeMo Docker image that is based on the [Nvidia’s NeMo 24.09](https://catalog.ngc.nvidia.com/orgs/nvidia/containers/nemo/tags) image. Use Cloud Build to build and push the container image.
This document picked NeMo as the demonstrating container since it’s a widely adopted GPU LLM training framework providing high performance and versatile training functionalities.
In addition to the base image, some customizations are included to form the final prebuilt image:
- Some dependencies are installed to integrate with Vertex AI Training.
- An entrypoint script that sets up required environments and calls the training job.
- Some patches are applied to the NeMo code to let it load the dataset from a GCS bucket.
Run this command to build the container and push the container into the Google Artifact Registry.
```bash
cd "${REPO_ROOT}/community-content/vertex-distributed-training/a3mega/llama-3-8b-nemo-pretraining"
export IMAGE_NAME="vertex-nemo-llama"
gcloud builds submit . \
--project="${PROJECT_ID}" \
--region="${REGION}" \
--config=docker/cloudbuild.yml \
--substitutions="_ARTIFACT_REGISTRY=${ARTIFACT_REGISTRY},_IMAGE_NAME=${IMAGE_NAME}" \
--timeout="2h" \
--machine-type="e2-highcpu-32"
```
## 4. Launch the Training Job
### 4.1. Job Configuration File
Once the container is built, update the job_config.json to set up the training job.
File: job_config.json
```json
{
"project_id": "<project-id>",
"region": "<region>",
"zone": "<zone if using reservation>",
"bucket": "<bucket>",
"dataset_bucket": "github-repo/data/third-party/enwiki-latest-pages-articles",
"image_uri": "<docker image uri from artifact registry>",
"strategy": "spot",
"nodes": "2",
"machine_type": "a3-megagpu-8g",
"gpu_type": "NVIDIA_H100_MEGA_80GB",
"gpus_per_node": "8",
"recipe_name": "llama3_1_8b_pretrain_a3mega",
"job_prefix": "vertex-spot-",
"reservation_name": ""
}
```
### 4.2 Launch the Training Job
First, create a Python virtual environment using your tool of choice, then install
the requirements specified in `requirements.txt`. Using `pip`, the command would be:
```bash
pip install -r requirements.txt
```
Now launch the Vertex AI training job using the provided Python script.
```bash
python3 scripts/launch.py --config_file=job_config.json
```
This script reads job_config.json, defines the cluster specification (2 nodes, 8 GPUs each), and submits the custom training job to Vertex AI.
## 5. Monitor and Clean Up
### 5.1. Monitoring
Vertex AI Console: Track the job's status in the Google Cloud Console under Vertex AI > Training > Custom Jobs.
Logs: View detailed logs in Cloud Logging by filtering for your job name.
Checkpoints: Model checkpoints are saved to your GCS bucket at the path specified in your training script's configuration.
### 5.2. Cleaning Up
To avoid ongoing charges, delete the resources you created:
- The Artifact Registry image.
- The contents of the GCS bucket (checkpoints, logs).
- The Vertex AI Custom Job will eventually complete or fail, incurring no further cost.
@@ -0,0 +1,265 @@
# Reference:
# https://github.com/NVIDIA/NeMo-Framework-Launcher/blob/24.07/launcher_scripts/conf/training/llama/llama3_1_8b.yaml
name: llama3_1_8b_pretrain_a3mega
restore_from_path: null # used when starting from a .nemo file
trainer:
devices: 8
num_nodes: 1
accelerator: gpu
precision: bf16
logger: false # logger provided by exp_manager
enable_checkpointing: false
use_distributed_sampler: false
max_epochs: -1 # PTL default. In practice, max_steps will be reached first.
max_steps: 30 # consumed_samples = global_step * micro_batch_size * data_parallel_size * accumulate_grad_batches
log_every_n_steps: 1
val_check_interval: null
limit_val_batches: 1
limit_test_batches: 1
accumulate_grad_batches: 1 # do not modify, grad acc is automatic for training megatron models
gradient_clip_val: 1.0
benchmark: false
enable_model_summary: false # default PTL callback for this does not support model parallelism, instead we log manually
exp_manager:
explicit_log_dir: null
exp_dir: /data
name: ${name}
create_dllogger_logger: true
dllogger_logger_kwargs:
verbose: true
stdout: true
json_file: "/data/dllogger.json"
create_wandb_logger: false
wandb_logger_kwargs:
project: null
name: null
resume_if_exists: true
resume_ignore_no_checkpoint: true
create_checkpoint_callback: false
checkpoint_callback_params:
monitor: val_loss
save_top_k: 3
mode: min
always_save_nemo: false # saves nemo file during validation, not implemented for model parallel
save_nemo_on_train_end: false # not recommended when training large models on clusters with short time limits
filename: 'megatron_gpt--{val_loss:.2f}-{step}-{consumed_samples}'
model_parallel_size: ${multiply:${model.tensor_model_parallel_size}, ${model.pipeline_model_parallel_size}}
seconds_to_sleep: 5 # Allows node_rank!=0 to sleep and let node0 to init, like preparing data
model:
mcore_gpt: true
# specify micro_batch_size, global_batch_size, and model parallelism
# gradient accumulation will be done automatically based on data_parallel_size
micro_batch_size: 1 # limited by GPU memory
global_batch_size: 1024 # will use more micro batches to reach global batch size
tensor_model_parallel_size: 1 # intra-layer model parallelism
pipeline_model_parallel_size: 2 # inter-layer model parallelism
context_parallel_size: 1
virtual_pipeline_model_parallel_size: null # interleaved pipeline
## Sequence Parallelism
# Makes tensor parallelism more memory efficient for LLMs (20B+) by parallelizing layer norms and dropout sequentially
# See Reducing Activation Recomputation in Large Transformer Models: https://arxiv.org/abs/2205.05198 for more details.
sequence_parallel: false
fsdp: false
fsdp_cpu_offload: true
fsdp_sharding_strategy: "full" # Method to shard model states. Available options are 'full', 'hybrid', and 'grad'.
fsdp_grad_reduce_dtype: "16" # Gradient reduction data type.
fsdp_sharded_checkpoint: false # Store and load FSDP shared checkpoint.
fsdp_use_orig_params: false # Set to True to use FSDP for specific peft scheme.
# Distributed checkpoint setup
dist_ckpt_format: "torch_dist" # Set to 'torch_dist' to use PyTorch distributed checkpoint format.
dist_ckpt_load_on_device: true # whether to load checkpoint weights directly on GPU or to CPU
dist_ckpt_parallel_save: true # if true, each worker will write its own part of the dist checkpoint
dist_ckpt_parallel_save_within_dp: false # if true, save will be parallelized only within a DP group (whole world otherwise), which might slightly reduce the save overhead
dist_ckpt_parallel_load: false # if true, each worker will load part of the dist checkpoint and exchange with NCCL. Might use some extra GPU memory
dist_ckpt_torch_dist_multiproc: 2 # number of extra processes per rank used during ckpt save with PyTorch distributed format
dist_ckpt_assume_constant_structure: false # set to True only if the state dict structure doesn't change within a single job. Allows caching some computation across checkpoint saves.
dist_ckpt_parallel_dist_opt: true # parallel save/load of a DistributedOptimizer. 'True' allows performant save and reshardable checkpoints. Set to 'False' only in order to minimize the number of checkpoint files.
dist_ckpt_load_strictness: null # defines checkpoint keys mismatch behavior (only during dist-ckpt load). Choices: assume_ok_unexpected (default - try loading without any check), log_all (log mismatches), raise_all (raise mismatches)
# model architecture
encoder_seq_length: 8192
max_position_embeddings: ${.encoder_seq_length}
num_layers: 32 # 8b: 32 | 70b: 80 | 405b: 126
hidden_size: 4096 # 8b: 4096 | 70b: 8192 | 405b: 16384
ffn_hidden_size: 14336 # 8b: 14336 | 70b: 28672 | 405b: 53248
num_attention_heads: 32 # 8b: 32 | 70b: 64 | 405b: 128
num_query_groups: 8 # Number of query groups for group query attention. If None, normal attention is used. 8b: 8 | 70b: 8 | 405b: 16
init_method_std: 0.01 # Standard deviation of the zero mean normal distribution used for weight initialization. 8b: 0.01 | 70b: 0.008944 | 405b: 0.02
use_scaled_init_method: true # use scaled residuals initialization
hidden_dropout: 0.0 # Dropout probability for hidden state transformer.
attention_dropout: 0.0 # Dropout probability for attention
ffn_dropout: 0.0 # Dropout probability in the feed-forward layer.
kv_channels: null # Projection weights dimension in multi-head attention. Set to hidden_size // num_attention_heads if null
apply_query_key_layer_scaling: true # scale Q * K^T by 1 / layer-number.
normalization: 'rmsnorm' # Normalization layer to use. Options are 'layernorm', 'rmsnorm'
layernorm_epsilon: 1e-5
do_layer_norm_weight_decay: false # True means weight decay on all params
make_vocab_size_divisible_by: 128 # Pad the vocab size to be divisible by this value for computation efficiency.
pre_process: true # add embedding
post_process: true # add pooler
persist_layer_norm: true # Use of persistent fused layer norm kernel.
bias: false # Whether to use bias terms in all weight matrices.
activation: 'fast-swiglu' # Options ['gelu', 'geglu', 'swiglu', 'reglu', 'squared-relu', 'fast-geglu', 'fast-swiglu', 'fast-reglu']
headscale: false # Whether to learn extra parameters that scale the output of the each self-attention head.
transformer_block_type: 'pre_ln' # Options ['pre_ln', 'post_ln', 'normformer']
openai_gelu: false # Use OpenAI's GELU instead of the default GeLU
normalize_attention_scores: true # Whether to scale the output Q * K^T by 1 / sqrt(hidden_size_per_head). This arg is provided as a configuration option mostly for compatibility with models that have been weight-converted from HF. You almost always want to se this to True.
position_embedding_type: 'rope' # Position embedding type. Options ['learned_absolute', 'rope']
rotary_percentage: 1.0 # If using position_embedding_type=rope, then the per head dim is multiplied by this.
attention_type: 'multihead' # Attention type. Options ['multihead']
share_embeddings_and_output_weights: false # Share embedding and output layer weights.
scale_positional_embedding: true # This is false for llama3 models. Only used for >= llama3.1.
# Use GPT2BPETokenizer for test, because the testing dataset is tokenized by this tokenizer.
# https://docs.nvidia.com/nemo-framework/user-guide/24.07/playbooks/singlenodepretrain.html#data-download-and-pre-processing
tokenizer:
library: megatron
type: GPT2BPETokenizer
model: null # /path/to/tokenizer.model
vocab_file: null
merge_file: null
delimiter: null # only used for tabular tokenizer
sentencepiece_legacy: false # Legacy=True allows you to add special tokens to sentencepiece tokenizers.
# Mixed precision
native_amp_init_scale: 4294967296 # 2 ** 32
native_amp_growth_interval: 1000
hysteresis: 2 # Gradient scale hysteresis
fp32_residual_connection: false # Move residual connections to fp32
fp16_lm_cross_entropy: false # Move the cross entropy unreduced loss calculation for lm head to fp16
# Megatron O2-style half-precision
megatron_amp_O2: true # Enable O2-level automatic mixed precision using main parameters
grad_allreduce_chunk_size_mb: 125
# Fusion
grad_div_ar_fusion: true # Fuse grad division into torch.distributed.all_reduce. Only used with O2 and no pipeline parallelism..
gradient_accumulation_fusion: true # Fuse weight gradient accumulation to GEMMs. Only used with pipeline parallelism and O2.
bias_activation_fusion: true # Use a kernel that fuses the bias addition from weight matrices with the subsequent activation function.
bias_dropout_add_fusion: true # Use a kernel that fuses the bias addition, dropout and residual connection addition.
masked_softmax_fusion: true # Use a kernel that fuses the attention softmax with it's mask.
apply_rope_fusion: true # Use a kernel to add rotary positional embeddings. Only used if position_embedding_type=rope
cross_entropy_loss_fusion: true
# Miscellaneous
seed: 1234
resume_from_checkpoint: null # manually set the checkpoint file to load from
use_cpu_initialization: false # Init weights on the CPU (slow for large models)
onnx_safe: false # Use work-arounds for known problems with Torch ONNX exporter.
apex_transformer_log_level: 30 # Python logging level displays logs with severity greater than or equal to this
gradient_as_bucket_view: true # PyTorch DDP argument. Allocate gradients in a contiguous bucket to save memory (less fragmentation and buffer memory)
sync_batch_comm: false # Enable stream synchronization after each p2p communication between pipeline stages
## Activation Checkpointing
# NeMo Megatron supports 'selective' activation checkpointing where only the memory intensive part of attention is checkpointed.
# These memory intensive activations are also less compute intensive which makes activation checkpointing more efficient for LLMs (20B+).
# See Reducing Activation Recomputation in Large Transformer Models: https://arxiv.org/abs/2205.05198 for more details.
# 'full' will checkpoint the entire transformer layer.
activations_checkpoint_granularity: null # 'selective' or 'full'
activations_checkpoint_method: null # 'uniform', 'block'
# 'uniform' divides the total number of transformer layers and checkpoints the input activation
# of each chunk at the specified granularity. When used with 'selective', 'uniform' checkpoints all attention blocks in the model.
# 'block' checkpoints the specified number of layers per pipeline stage at the specified granularity
activations_checkpoint_num_layers: null
# when using 'uniform' this creates groups of transformer layers to checkpoint. Usually set to 1. Increase to save more memory.
# when using 'block' this this will checkpoint the first activations_checkpoint_num_layers per pipeline stage.
num_micro_batches_with_partial_activation_checkpoints: null
# This feature is valid only when used with pipeline-model-parallelism.
# When an integer value is provided, it sets the number of micro-batches where only a partial number of Transformer layers get checkpointed
# and recomputed within a window of micro-batches. The rest of micro-batches in the window checkpoint all Transformer layers. The size of window is
# set by the maximum outstanding micro-batch backpropagations, which varies at different pipeline stages. The number of partial layers to checkpoint
# per micro-batch is set by 'activations_checkpoint_num_layers' with 'activations_checkpoint_method' of 'block'.
# This feature enables using activation checkpoint at a fraction of micro-batches up to the point of full GPU memory usage.
activations_checkpoint_layers_per_pipeline: null
# This feature is valid only when used with pipeline-model-parallelism.
# When an integer value (rounded down when float is given) is provided, it sets the number of Transformer layers to skip checkpointing at later
# pipeline stages. For example, 'activations_checkpoint_layers_per_pipeline' of 3 makes pipeline stage 1 to checkpoint 3 layers less than
# stage 0 and stage 2 to checkpoint 6 layers less stage 0, and so on. This is possible because later pipeline stage
# uses less GPU memory with fewer outstanding micro-batch backpropagations. Used with 'num_micro_batches_with_partial_activation_checkpoints',
# this feature removes most of activation checkpoints at the last pipeline stage, which is the critical execution path.
## Transformer Engine
transformer_engine: true
fp8: false # enables fp8 in TransformerLayer forward
fp8_e4m3: false # sets fp8_format = recipe.Format.E4M3
fp8_hybrid: false # sets fp8_format = recipe.Format.HYBRID
fp8_margin: 0 # scaling margin
fp8_interval: 1 # scaling update interval
fp8_amax_history_len: 1024 # Number of steps for which amax history is recorded per tensor
fp8_amax_compute_algo: 'max' # 'most_recent' or 'max'. Algorithm for computing amax from history
ub_tp_comm_overlap: false # do not turn on because of b/397797926
use_flash_attention: true
gc_interval: 100
## Offloading Activations/Weights to CPU
cpu_offloading: false
cpu_offloading_num_layers: ${sum:${.num_layers},-1} # This value should be between [1,num_layers-1] as we don't want to offload the final layer's activations and expose any offloading duration for the final layer
cpu_offloading_activations: true
cpu_offloading_weights: true
data:
# Path to data must be specified by the user.
# Supports List, String and Dictionary
# List : can override from the CLI: "model.data.data_prefix=[.5,/raid/data/pile/my-gpt3_00_text_document,.5,/raid/data/pile/my-gpt3_01_text_document]",
# Or see example below:
# data_prefix:
# - .5
# - /raid/data/pile/my-gpt3_00_text_document
# - .5
# - /raid/data/pile/my-gpt3_01_text_document
# Dictionary: can override from CLI "model.data.data_prefix"={"train":[1.0, /path/to/data], "validation":/path/to/data, "test":/path/to/test}
# Or see example below:
# "model.data.data_prefix: {train:[1.0,/path/to/data], validation:[/path/to/data], test:[/path/to/test]}"
data_prefix: [1.0, /data/hfbpe_gpt_training_data_text_document]
index_mapping_dir: null # path to save index mapping .npy files, by default will save in the same location as data_prefix
data_impl: mmap
splits_string: 900,50,50
seq_length: ${model.encoder_seq_length}
skip_warmup: true
num_workers: 2
dataloader_type: single # cyclic
reset_position_ids: false # Reset position ids after end-of-document token
reset_attention_mask: false # Reset attention mask after end-of-document token
eod_mask_loss: false # Mask loss for the end of document tokens
validation_drop_last: true # Set to false if the last partial validation samples is to be consumed
no_seqlen_plus_one_input_tokens: false # Set to True to disable fetching (sequence length + 1) input tokens, instead get (sequence length) input tokens and mask the last token
pad_samples_to_global_batch_size: false # Set to True if you want to pad the last partial batch with -1's to equal global batch size
shuffle_documents: true # Set to False to disable documents shuffling. Sample index will still be shuffled
# Nsys profiling options
nsys_profile:
enabled: false
start_step: 0 # Global batch to start profiling
end_step: 1 # Global batch to end profiling
ranks: [0] # Global rank IDs to profile
gen_shape: false # Generate model and kernel details including input shapes
memory_profile:
enabled: false
start_step: 0
end_step: 1
ranks: [0]
output_path: /data # Must be a dir
optim:
name: distributed_fused_adam # E.g., fused_adam or set _target_: torch.optim.AdamW field
lr: 2e-5
weight_decay: 0.01
betas:
- 0.9
- 0.98
bucket_cap_mb: 125
overlap_grad_sync: true
overlap_param_sync: true
contiguous_grad_buffer: true
contiguous_param_buffer: true
sched:
name: CosineAnnealing
warmup_steps: 400
constant_steps: 0
min_lr: 2e-6
@@ -0,0 +1,26 @@
# Copyright 2024 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
steps:
- name: 'gcr.io/cloud-builders/docker'
args:
- 'build'
- '--tag=${_ARTIFACT_REGISTRY}/${_IMAGE_NAME}'
- '--file=docker/vertex-dist-recipes.Dockerfile'
- '.'
automapSubstitutions: true
env:
- 'DOCKER_BUILDKIT=1'
images:
- '${_ARTIFACT_REGISTRY}/${_IMAGE_NAME}'
@@ -0,0 +1,41 @@
diff --git a/nemo/collections/nlp/parts/megatron_trainer_builder.py b/nemo/collections/nlp/parts/megatron_trainer_builder.py
index b2c85cde4..a3a9670c3 100644
--- a/nemo/collections/nlp/parts/megatron_trainer_builder.py
+++ b/nemo/collections/nlp/parts/megatron_trainer_builder.py
@@ -19,6 +19,7 @@ from lightning_fabric.utilities.exceptions import MisconfigurationException
from omegaconf import DictConfig
from pytorch_lightning import Trainer
from pytorch_lightning.callbacks import ModelSummary
+from pytorch_lightning.callbacks import Callback
from pytorch_lightning.plugins.environments import TorchElasticEnvironment
from nemo.collections.common.metrics.perf_metrics import FLOPsMeasurementCallback
@@ -38,6 +39,23 @@ from nemo.utils.callbacks.dist_ckpt_io import (
AsyncFinalizerCallback,
DistributedCheckpointIO,
)
+from vmg.util.device_stats import gpu_stats_str
+
+class GpuStatsMon(Callback):
+ def on_train_start(self, trainer, pl_module) -> None:
+ rank=pl_module.global_rank
+ print(f'train_start: {rank=} {gpu_stats_str()}', flush=True)
+
+ def on_train_batch_start(self, trainer, pl_module, batch, batch_idx) -> None:
+ rank=pl_module.global_rank
+ print(f'batch_start: {rank=} {gpu_stats_str()}', flush=True)
+
+ def on_train_batch_end(self, trainer, pl_module, outputs, batch, batch_idx) -> None:
+ rank=pl_module.global_rank
+ print(f'batch_end: {rank=} {gpu_stats_str()}', flush=True)
class MegatronTrainerBuilder:
@@ -178,6 +196,7 @@ class MegatronTrainerBuilder:
if self.cfg.get('exp_manager', {}).get('log_tflops_per_sec_per_gpu', True):
callbacks.append(FLOPsMeasurementCallback(self.cfg))
+ callbacks.append(GpuStatsMon())
return callbacks
def create_trainer(self, callbacks=None) -> Trainer:
@@ -0,0 +1,41 @@
diff -ruN old-datasets/blended_megatron_dataset_builder.py datasets/blended_megatron_dataset_builder.py
--- old-datasets/blended_megatron_dataset_builder.py 2025-05-02 04:08:45.369199665 +0000
+++ datasets/blended_megatron_dataset_builder.py 2025-05-02 04:10:47.369119891 +0000
@@ -2,6 +2,7 @@
import logging
import math
+import os
from concurrent.futures import ThreadPoolExecutor
from typing import Any, Callable, Iterable, List, Optional, Type, Union
@@ -353,7 +354,7 @@
num_dataset_builder_threads = self.config.num_dataset_builder_threads
if torch.distributed.is_initialized():
- rank = torch.distributed.get_rank()
+ rank = int(os.getenv("LOCAL_RANK", "0"))
# First, build on rank 0
if rank == 0:
num_workers = num_dataset_builder_threads
@@ -475,7 +476,7 @@
Optional[Union[DistributedDataset, Iterable]]: The DistributedDataset instantion, the Iterable instantiation, or None
"""
if torch.distributed.is_initialized():
- rank = torch.distributed.get_rank()
+ rank = int(os.getenv("LOCAL_RANK", "0"))
dataset = None
diff -ruN old-datasets/gpt_dataset.py datasets/gpt_dataset.py
--- old-datasets/gpt_dataset.py 2025-05-02 04:08:45.369199665 +0000
+++ datasets/gpt_dataset.py 2025-05-02 04:09:30.309170278 +0000
@@ -351,7 +351,7 @@
if not path_to_cache or (
not cache_hit
- and (not torch.distributed.is_initialized() or torch.distributed.get_rank() == 0)
+ and (not torch.distributed.is_initialized() or int(os.getenv("LOCAL_RANK", "0")) == 0)
):
log_single_rank(
@@ -0,0 +1,13 @@
diff --git a/scripts/checkpoint_converters/convert_llama_nemo_to_hf.py b/scripts/checkpoint_converters/convert_llama_nemo_to_hf.py
index 8da15148d..005cae6c9 100644
--- a/scripts/checkpoint_converters/convert_llama_nemo_to_hf.py
+++ b/scripts/checkpoint_converters/convert_llama_nemo_to_hf.py
@@ -104,6 +104,8 @@ def convert(input_nemo_file, output_hf_file, precision=None, cpu_only=False) ->
dummy_trainer = Trainer(devices=1, accelerator='cpu', strategy=NLPDDPStrategy())
model_config = MegatronGPTModel.restore_from(input_nemo_file, trainer=dummy_trainer, return_config=True)
model_config.tensor_model_parallel_size = 1
+ model_config.virtual_pipeline_model_parallel_size = None
+ model_config.sequence_parallel = False
model_config.pipeline_model_parallel_size = 1
if cpu_only:
map_location = torch.device('cpu')
@@ -0,0 +1,24 @@
diff --git a/examples/nlp/language_modeling/tuning/megatron_gpt_finetuning.py b/examples/nlp/language_modeling/tuning/megatron_gpt_finetuning.py
index bfe8ea359..dfeaf93b5 100644
--- a/examples/nlp/language_modeling/tuning/megatron_gpt_finetuning.py
+++ b/examples/nlp/language_modeling/tuning/megatron_gpt_finetuning.py
@@ -13,6 +13,8 @@
# limitations under the License.
import torch.multiprocessing as mp
+import torch.distributed as dist
+
from omegaconf.omegaconf import OmegaConf
from nemo.collections.nlp.models.language_modeling.megatron_gpt_sft_model import MegatronGPTSFTModel
@@ -76,6 +78,10 @@ def main(cfg) -> None:
trainer.fit(model)
+ if dist.is_available() and dist.is_initialized():
+ dist.barrier()
+ dist.destroy_process_group()
+
if __name__ == '__main__':
main()
@@ -0,0 +1,13 @@
diff --git a/src/utils/training_metrics/process_training_results.py b/src/utils/training_metrics/process_training_results.py
index 3e82a66..e61e1d8 100644
--- a/src/utils/training_metrics/process_training_results.py
+++ b/src/utils/training_metrics/process_training_results.py
@@ -134,7 +134,7 @@ def get_average_step_time(file: str, start_step: int, end_step: int) -> float:
for line in datajson:
if line.get("step") != "PARAMETER":
step = line.get("step")
- if step >= start_step and step <= end_step:
+ if step >= start_step and step <= end_step and "train_step_timing in s" in line["data"]:
time_step_accumulator += line["data"].get("train_step_timing in s")
num_steps += 1
if num_steps == 0:
@@ -0,0 +1,10 @@
dllogger@git+https://github.com/NVIDIA/dllogger@v1.0.0
# Fixing these libraries versions to avoid conflicting or broken packages.
immutabledict==4.2.1
protobuf==4.25.8
opencv-python-headless==4.11.0.86
docutils==0.16
urllib3==2.5.0
google-cloud-storage==3.0.0
retrying
@@ -0,0 +1,18 @@
# cuml-cu12==24.8.0 was installed in nemo:24.09
# Removing cuml=24.4.0 to avoid conflicting packages.
cudf==24.4.0
cugraph==24.4.0
cugraph-service-server==24.4.0
cuml==24.4.0
dask-cudf==24.4.0
raft-dask==24.4.0
cugraph-dgl==24.4.0
cugraph-pyg==24.4.0
# The following packages are removed temporarily to avoid conflicting packages
# and can be brought back if needed.
tensorrt-llm==0.12.0
img2dataset==1.45.0
Sphinx==8.1.3
sphinxcontrib-bibtex==2.6.3
torchx==0.7.0
nemo-run
@@ -0,0 +1,66 @@
# Dockerfile wrapping NeMo.
#
# To workaround base nemo docker image using too many layers, we use Multi-stage
# build to first collect the additional files we'll need.
FROM alpine:latest AS prep_files
WORKDIR /workspace
RUN mkdir -p configs vdt vdt/util
COPY scripts/*.py vdt/
COPY scripts/util/*.py vdt/util/
COPY configs/* configs/
COPY docker/patches/24.09/* vdt/patches/
RUN chmod a+rwX -R vdt
# Copy license.
RUN wget https://raw.githubusercontent.com/GoogleCloudPlatform/vertex-ai-samples/main/LICENSE
# Available tags
# https://catalog.ngc.nvidia.com/orgs/nvidia/containers/nemo/tags
# It installs NeMo source code in /opt/NeMo folder, with tag=r2.0.0
FROM nvcr.io/nvidia/nemo:24.09
RUN apt-get update && apt-get install -y sudo zsh tmux && \
rm -rf /var/lib/apt/lists*
RUN echo "deb [signed-by=/usr/share/keyrings/cloud.google.gpg] http://packages.cloud.google.com/apt cloud-sdk main" | \
tee -a /etc/apt/sources.list.d/google-cloud-sdk.list && \
curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | \
apt-key --keyring /usr/share/keyrings/cloud.google.gpg add - && \
apt-get update -y && apt-get install google-cloud-sdk -y && \
rm -rf /var/lib/apt/lists*
# Install libraries with pip
ENV PIP_ROOT_USER_ACTION=ignore
# We expect this will be run in the root directory of the vertex-dist-recipes repo
ARG HOST_SRC_DIR="."
# The pre-installed NeMo introduces a lot of deps conflicts.
# We uninstall the confilicting libs and reinstall some of them as needed.
COPY ${HOST_SRC_DIR}/docker/uninstall.txt /tmp/uninstall.txt
RUN cat /tmp/uninstall.txt | grep -v '#' | xargs pip uninstall -y
COPY ${HOST_SRC_DIR}/docker/requirements.txt /tmp/requirements.txt
RUN pip install -r /tmp/requirements.txt
# Make sure there's no inconsistent pip libraries.
RUN pip check
WORKDIR /workspace
# Copy configs
COPY ${HOST_SRC_DIR}/configs/* /opt/NeMo/examples/nlp/language_modeling/conf/
# Copy all additional files we need from `prep_files` image.
COPY --from=prep_files /workspace/ .
# Install for `src/utils/training_metrics/process_training_results.py` to report
# throughput and MFU numbers.
RUN git clone https://github.com/AI-Hypercomputer/gpu-recipes.git
# This hack is needed for multi-node training while not using a sharing file system.
RUN patch --verbose -l -d /opt/megatron-lm/megatron/core/datasets -p1 -i /workspace/vdt/patches/local_rank.patch; \
git -C /workspace/gpu-recipes apply /workspace/vdt/patches/throughput_calc.patch; \
git -C /opt/NeMo apply /workspace/vdt/patches/nemo2hf.patch; \
git -C /opt/NeMo apply /workspace/vdt/patches/sigabort.patch;
# git -C /opt/NeMo apply /workspace/vdt/patches/gpu_stats.patch;
# Do not put an entrypoint here. Specify the entrypoint in the docker run script.
@@ -0,0 +1,16 @@
{
"project_id": "<your_project_id>",
"region": "us-central1",
"zone": "us-central1-c",
"bucket": "<your_bucket",
"dataset_bucket": "github-repo/data/third-party/enwiki-latest-pages-articles",
"image_uri": "<your_image_uri>",
"strategy": "spot",
"nodes": "2",
"machine_type": "a3-megagpu-8g",
"gpu_type": "NVIDIA_H100_MEGA_80GB",
"gpus_per_node": "8",
"recipe_name": "llama3_1_8b_pretrain_a3mega",
"job_prefix": "vertex-ai",
"reservation_name": ""
}
@@ -0,0 +1,49 @@
absl-py==2.2.2
annotated-types==0.7.0
anyio==4.9.0
black==25.1.0
cachetools==5.5.2
certifi==2025.4.26
charset-normalizer==3.4.2
click==8.1.8
docstring_parser==0.16
google-api-core==2.24.2
google-auth==2.40.1
google-cloud-aiplatform==1.92.0
google-cloud-bigquery==3.31.0
google-cloud-core==2.4.3
google-cloud-resource-manager==1.14.2
google-cloud-storage==2.19.0
google-crc32c==1.7.1
google-genai==1.14.0
google-resumable-media==2.7.2
googleapis-common-protos==1.70.0
grpc-google-iam-v1==0.14.2
grpcio==1.71.0
grpcio-status==1.71.0
h11==0.16.0
httpcore==1.0.9
httpx==0.28.1
idna==3.10
mypy_extensions==1.1.0
numpy==2.2.5
packaging==25.0
pathspec==0.12.1
platformdirs==4.3.8
proto-plus==1.26.1
protobuf==5.29.4
pyasn1==0.6.1
pyasn1_modules==0.4.2
pydantic==2.11.4
pydantic_core==2.33.2
python-dateutil==2.9.0.post0
pytz==2025.2
requests==2.32.4
rsa==4.9.1
shapely==2.1.0
six==1.17.0
sniffio==1.3.1
typing-inspection==0.4.0
typing_extensions==4.13.2
urllib3==2.4.0
websockets==15.0.1
@@ -0,0 +1,173 @@
"""Launch script for Vertex distributed training"""
# Copy the sample_job_config.json file to job_config.json
# to define the job parameters.
#
# Run like this:
#
# python3 vertex_dist_train/launch.py --config_file=job_config.json
#
import datetime
import json
import os
import pprint
from collections.abc import Sequence
from typing import Any, List
from absl import app, flags
from google.cloud import aiplatform
from google.cloud.aiplatform_v1.types.custom_job import Scheduling
from pytz import timezone
FLAGS = flags.FLAGS
flags.DEFINE_string("config_file", None, "Path to JSON config file")
flags.DEFINE_boolean(
"debug", False, "Debug mode: just print the command, don't run it."
)
def launch_job(
job_name: str,
project: str,
region: str,
gcs_bucket: str,
image_uri: str,
entrypoint_cmd: List[str],
trainer_args: List[Any],
num_nodes: int,
machine_type: str,
num_gpus_per_node: int,
gpu_type: str,
strategy: str,
reservation_name: str = "",
):
assert strategy in ("dws", "spot", "reservation")
aiplatform.init(
project=project, location=region, staging_bucket=gcs_bucket
)
train_job = aiplatform.CustomContainerTrainingJob(
display_name=job_name,
container_uri=image_uri,
command=entrypoint_cmd,
)
job_args = dict(
args=trainer_args,
enable_web_access=True,
replica_count=num_nodes,
machine_type=machine_type,
accelerator_type=gpu_type,
accelerator_count=num_gpus_per_node,
boot_disk_size_gb=1000,
restart_job_on_worker_restart=True,
#restart_job_on_worker_restart=False,
)
if strategy == "spot":
job_args.update({"scheduling_strategy": Scheduling.Strategy.SPOT.name})
elif strategy == "dws":
job_args.update(
{"scheduling_strategy": Scheduling.Strategy.FLEX_START.name}
)
elif strategy == "reservation":
assert reservation_name != "", (
"If using a reservation, provide the reservation_name in the "
"format `projects/{project_id_or_number}/zones/{zone}/"
"reservations/{reservation_name}`"
)
job_args.update(
{
"reservation_affinity_type": "SPECIFIC_RESERVATION",
"reservation_affinity_key": "compute.googleapis.com/reservation-name",
"reservation_affinity_values": [reservation_name],
}
)
pprint.pprint(job_args)
if not FLAGS.debug:
train_job.submit(**job_args)
def main(argv: Sequence[str]) -> None:
config_file_path = FLAGS.config_file
print(f"Reading job config from {config_file_path}")
with open(config_file_path, encoding="utf-8") as config_file:
config = json.load(config_file)
project_id = config["project_id"]
region = config["region"]
zone = config["zone"]
bucket = config["bucket"]
dataset_bucket = config["dataset_bucket"]
n_nodes = int(config["nodes"])
machine_type = config["machine_type"]
num_gpus_per_node = int(config["gpus_per_node"])
gpu_type = config["gpu_type"]
reservation_name = config.get("reservation_name")
reservation_full_name = (
f"projects/{project_id}/zones/{zone}/reservations/{reservation_name}"
if "reservation_name" in config
else ""
)
strategy = config["strategy"]
recipe_name = config["recipe_name"]
job_prefix = config["job_prefix"]
image_uri = config["image_uri"]
# Job name
timestamp = (
datetime.datetime.now()
.astimezone(timezone("US/Pacific"))
.strftime("%Y%m%d_%H%M%S")
)
job_name = f"{recipe_name}-{timestamp}"
if job_prefix:
job_name = f"{job_prefix}-{job_name}"
base_output_dir = os.path.join("/gcs", bucket, job_name)
# Training command and args
entrypoint_cmd = ["python3", "vdt/run.py"]
dataset_bucket = f"gs://{config['dataset_bucket']}"
trainer_args = [
f"--train_data_gcs={dataset_bucket}",
"/opt/NeMo/examples/nlp/language_modeling/megatron_gpt_pretraining.py",
"--config-path=conf/",
f"--config-name={recipe_name}.yaml",
f"exp_manager.explicit_log_dir={base_output_dir}",
f"exp_manager.dllogger_logger_kwargs.json_file={base_output_dir}/dllogger.json",
"+exp_manager.create_tensorboard_logger=true",
"exp_manager.create_checkpoint_callback=false",
f"trainer.num_nodes={n_nodes}",
f"trainer.devices={num_gpus_per_node}",
"trainer.max_steps=10",
"trainer.log_every_n_steps=1",
"model.tokenizer.vocab_file=/data/gpt2-vocab.json",
"model.tokenizer.merge_file=/data/gpt2-merges.txt",
"model.data.data_prefix=[1.0,/data/hfbpe_gpt_training_data_text_document]",
]
launch_job(
job_name=job_name,
project=project_id,
region=region,
gcs_bucket=bucket,
image_uri=image_uri,
entrypoint_cmd=entrypoint_cmd,
trainer_args=trainer_args,
num_nodes=n_nodes,
machine_type=machine_type,
num_gpus_per_node=num_gpus_per_node,
gpu_type=gpu_type,
strategy=strategy,
reservation_name=reservation_full_name,
)
if __name__ == "__main__":
app.run(main)
@@ -0,0 +1,85 @@
"""Entrypoint for Vertex Distributed Training container."""
import argparse
import os
import sys
from collections.abc import Sequence
from subprocess import STDOUT, check_output, run
from absl import app, flags, logging
from util import cluster_spec
from retrying import retry
# PyTorch barrier call which synchronizes all of the nodes before launching the training process.
# This makes sure that processes will block until all processes are ready.
# Improves the reliability of spot VM usage for multi-node training jobs
@retry(stop_max_attempt_number=100, wait_exponential_multiplier=1000)
def barrier_with_retry() -> None:
import torch
logging.info("Starting barrier on RANK {}".format(os.environ["RANK"]))
torch.distributed.init_process_group()
torch.distributed.barrier()
torch.distributed.destroy_process_group()
logging.info("Finished barrier on RANK {}".format(os.environ["RANK"]))
def main(unused_argv: Sequence[str]) -> None:
parser = argparse.ArgumentParser()
parser.add_argument(
"--train_data_gcs",
type=str,
help="Download training data from gcs path",
)
args, unknown = parser.parse_known_args()
for key, val in os.environ.items():
logging.info("ENV %s=%s", key, val)
if args.train_data_gcs:
local_dir = "/data"
if not os.path.exists(local_dir):
os.mkdir(local_dir)
logging.info("downloading %s to %s...", args.train_data_gcs, local_dir)
check_output(
[
"gcloud",
"storage",
"cp",
"-r",
f"{args.train_data_gcs}/*",
local_dir,
],
stderr=STDOUT,
)
logging.info("%s downloaded.", args.train_data_gcs)
primary_node_addr, primary_node_port, node_rank, num_nodes = (
cluster_spec.get_cluster_spec()
)
cmd = [
"torchrun",
"--nproc-per-node=8",
f"--nnodes={num_nodes}",
f"--node_rank={node_rank}",
]
if num_nodes > 1:
cmd += [
"--max-restarts=3",
"--rdzv-backend=static",
f'--rdzv_id={os.getenv("CLOUD_ML_JOB_ID", primary_node_port)}',
f"--rdzv-endpoint={primary_node_addr}:{primary_node_port}",
]
cmd += unknown
logging.info("launching with cmd: \n%s", " \\\n".join(cmd))
barrier_with_retry()
run(cmd, stdout=sys.stdout, stderr=sys.stdout, check=True)
if __name__ == "__main__":
logging.get_absl_handler().python_handler.stream = sys.stdout
app.run(
main, flags_parser=lambda _args: flags.FLAGS(_args, known_only=True)
)
@@ -0,0 +1,81 @@
"""Get cluster info from environment variables."""
import dataclasses
import json
import os
from absl import logging
@dataclasses.dataclass
class ClusterInfo:
"""Contains information about the cluster.
Attributes:
primary_node_addr: The address of the primary node.
primary_node_port: The port of the primary node.
node_rank: The rank of the node.
num_nodes: The number of nodes in the cluster.
"""
primary_node_addr: str | None = None
primary_node_port: str | None = None
node_rank: int = 0
num_nodes: int = 1
# Allows unpacking operation like
# primary_node_addr, primary_node_port, _, _ = ClusterInfo()
# See https://stackoverflow.com/a/70753113
def __iter__(self):
return iter(dataclasses.astuple(self))
def get_cluster_spec() -> ClusterInfo:
"""Parses CLUSTER_SPEC environment variable and returns the cluster info.
Returns:
A ClusterInfo object.
"""
cluster_spec = os.getenv("CLUSTER_SPEC", None)
# If CLUSTER_SPEC is not set, use individual vars to construct cluster info.
if not cluster_spec:
cluster_info = ClusterInfo(
primary_node_addr=os.getenv("MASTER_ADDR", None),
primary_node_port=os.getenv("MASTER_PORT", None),
node_rank=int(os.getenv("RANK", "0")),
num_nodes=int(os.getenv("NNODES", "1")),
)
return cluster_info
cluster_data = json.loads(cluster_spec)
# Get primary node info
primary_node = cluster_data["cluster"]["workerpool0"][0]
logging.info("primary node: %s", primary_node)
primary_node_addr, primary_node_port = primary_node.split(":")
logging.info("primary node address: %s", primary_node_addr)
logging.info("primary node port: %s", primary_node_port)
# Determine node rank of this machine
workerpool = cluster_data["task"]["type"]
if workerpool == "workerpool0":
node_rank = 0
elif workerpool == "workerpool1":
# Add 1 for the primary node, since `index` is the index of workerpool1.
node_rank = cluster_data["task"]["index"] + 1
else:
raise ValueError(
"Only workerpool0 and workerpool1 are supported. Unknown workerpool:"
f" {workerpool}"
)
logging.info("node rank: %s", node_rank)
# Calculate total nodes.
num_nodes = 1 # For the primary node.
if "workerpool1" in cluster_data["cluster"]:
num_nodes += len(cluster_data["cluster"]["workerpool1"])
logging.info("num nodes: %s", num_nodes)
return ClusterInfo(
primary_node_addr, primary_node_port, node_rank, num_nodes
)
@@ -0,0 +1,59 @@
"""Add tests for cluster_spec.py."""
import os
from . import cluster_spec
# TODO(styer): Use pytest instead
class ClusterSpecTest(googletest.TestCase):
def setUp(self):
super().setUp()
self.curr_env_var = os.environ.copy()
def tearDown(self):
super().tearDown()
os.environ = self.curr_env_var
def test_get_cluster_spec_from_env_vars(self):
os.environ["CLUSTER_SPEC"] = ""
os.environ["MASTER_ADDR"] = "127.0.0.1"
os.environ["MASTER_PORT"] = "8080"
os.environ["RANK"] = "0"
os.environ["NNODES"] = "2"
cluster_info = cluster_spec.get_cluster_spec()
self.assertEqual(cluster_info.primary_node_addr, "127.0.0.1")
self.assertEqual(cluster_info.primary_node_port, "8080")
self.assertEqual(cluster_info.node_rank, 0)
self.assertEqual(cluster_info.num_nodes, 2)
def test_get_cluster_spec_from_cluster_spec(self):
os.environ[
"CLUSTER_SPEC"
] = """
{
"cluster": {
"workerpool0": [
"127.0.0.1:8080"
],
"workerpool1": [
"127.0.0.2:8080",
"127.0.0.3:8080"
]
},
"task": {
"type": "workerpool1",
"index": 0
}
}
"""
cluster_info = cluster_spec.get_cluster_spec()
self.assertEqual(cluster_info.primary_node_addr, "127.0.0.1")
self.assertEqual(cluster_info.primary_node_port, "8080")
self.assertEqual(cluster_info.node_rank, 1)
self.assertEqual(cluster_info.num_nodes, 3)
if __name__ == "__main__":
googletest.main()
@@ -37,18 +37,18 @@
"\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/community/bigquery_ml/Anomaly_detection_in_Cloud_Audit_logs_with_BQML.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/community/bigquery_ml/Anomaly_detection_in_Cloud_Audit_logs_with_BQML.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https://raw.githubusercontent.com/GoogleCloudPlatform/vertex-ai-samples/main/notebooks/community/bigquery_ml/Anomaly_detection_in_Cloud_Audit_logs_with_BQML.ipynb\">\n",
" <img src=\"https://lh3.googleusercontent.com/UiNooY4LUgW_oTvpsNhPpQzsstV5W8F7rYgxgGBD85cWJoLmrOzhVs_ksK_vgx40SHs7jCqkTkCk=e14-rj-sc0xffffff-h130-w32\" alt=\"Vertex AI logo\">\n",
" <img src=\"https://www.gstatic.com/images/branding/gcpiconscolors/vertexai/v1/32px.svg\" alt=\"Vertex AI logo\">\n",
" Open in Vertex AI Workbench\n",
" </a>\n",
" </td> \n",
@@ -47,18 +47,18 @@
"\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/community/bigquery_ml/bq_ml_with_vision_translation_nlp.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/community/bigquery_ml/bq_ml_with_vision_translation_nlp.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https://raw.githubusercontent.com/GoogleCloudPlatform/vertex-ai-samples/main/notebooks/community/bigquery_ml/bq_ml_with_vision_translation_nlp.ipynb\">\n",
" <img src=\"https://lh3.googleusercontent.com/UiNooY4LUgW_oTvpsNhPpQzsstV5W8F7rYgxgGBD85cWJoLmrOzhVs_ksK_vgx40SHs7jCqkTkCk=e14-rj-sc0xffffff-h130-w32\" alt=\"Vertex AI logo\">\n",
" <img src=\"https://www.gstatic.com/images/branding/gcpiconscolors/vertexai/v1/32px.svg\" alt=\"Vertex AI logo\">\n",
" Open in Vertex AI Workbench\n",
" </a>\n",
" </td>\n",
@@ -35,18 +35,18 @@
"\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/bigquery_ml/bqml-online-prediction.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/bigquery_ml/bqml-online-prediction.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https://raw.githubusercontent.com/GoogleCloudPlatform/vertex-ai-samples/main/notebooks/official/bigquery_ml/bqml-online-prediction.ipynb\">\n",
" <img src=\"https://lh3.googleusercontent.com/UiNooY4LUgW_oTvpsNhPpQzsstV5W8F7rYgxgGBD85cWJoLmrOzhVs_ksK_vgx40SHs7jCqkTkCk=e14-rj-sc0xffffff-h130-w32\" alt=\"Vertex AI logo\">\n",
" <img src=\"https://www.gstatic.com/images/branding/gcpiconscolors/vertexai/v1/32px.svg\" alt=\"Vertex AI logo\">\n",
" Open in Vertex AI Workbench\n",
" </a>\n",
" </td> \n",
@@ -38,7 +38,7 @@
" </td>\n",
" <td>\n",
" <a href=\"github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/cohere/cohere_embedding_with_matching_engine.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -36,18 +36,18 @@
"\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/vertex_ai_experiments_classification.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/vertex_ai_experiments_classification.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https://raw.githubusercontent.com/GoogleCloudPlatform/vertex-ai-samples/main/notebooks/vertex_ai_experiments_classification.ipynb\">\n",
" <img src=\"https://lh3.googleusercontent.com/UiNooY4LUgW_oTvpsNhPpQzsstV5W8F7rYgxgGBD85cWJoLmrOzhVs_ksK_vgx40SHs7jCqkTkCk=e14-rj-sc0xffffff-h130-w32\" alt=\"Vertex AI logo\">\n",
" <img src=\"https://www.gstatic.com/images/branding/gcpiconscolors/vertexai/v1/32px.svg\" alt=\"Vertex AI logo\">\n",
" Open in Vertex AI Workbench\n",
" </a>\n",
" </td> \n",
@@ -33,18 +33,18 @@
"\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/explainable_ai/SDK_Custom_Container_XAI.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/explainable_ai/SDK_Custom_Container_XAI.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/explainable_ai/SDK_Custom_Container_XAI.ipynb\">\n",
" <img src=\"https://lh3.googleusercontent.com/UiNooY4LUgW_oTvpsNhPpQzsstV5W8F7rYgxgGBD85cWJoLmrOzhVs_ksK_vgx40SHs7jCqkTkCk=e14-rj-sc0xffffff-h130-w32\" alt=\"Vertex AI logo\">\n",
" <img src=\"https://www.gstatic.com/images/branding/gcpiconscolors/vertexai/v1/32px.svg\" alt=\"Vertex AI logo\">\n",
" Open in Vertex AI Workbench\n",
" </a>\n",
" </td> \n",
@@ -33,12 +33,12 @@
"\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/official/feature_store/gapic-feature-store.ipynb\"\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/official/feature_store/gapic-feature-store.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,20 +34,20 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/community/ml_ops/stage6/get_started_vertex_feature_store_serving.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
" \n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/community/ml_ops/stage6/get_started_vertex_feature_store_serving.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" \n",
" <td>\n",
" <a href=\"https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https://raw.githubusercontent.com/GoogleCloudPlatform/vertex-ai-samples/main/notebooks/community/ml_ops/stage6/get_started_vertex_feature_store_serving.ipynb\">\n",
" <img src=\"https://lh3.googleusercontent.com/UiNooY4LUgW_oTvpsNhPpQzsstV5W8F7rYgxgGBD85cWJoLmrOzhVs_ksK_vgx40SHs7jCqkTkCk=e14-rj-sc0xffffff-h130-w32\" alt=\"Vertex AI logo\">\n",
" <img src=\"https://www.gstatic.com/images/branding/gcpiconscolors/vertexai/v1/32px.svg\" alt=\"Vertex AI logo\">\n",
" Open in Vertex AI Workbench\n",
" </a>\n",
" </td>\n",
@@ -33,18 +33,18 @@
"\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/vertex-ai-samples/blob/main/notebooks/community/feature_store/mobile_gaming/mobile_gaming_feature_store.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/community/feature_store/mobile_gaming/mobile_gaming_feature_store.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https://raw.githubusercontent.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/community/feature_store/mobile_gaming/mobile_gaming_feature_store.ipynb\">\n",
" <img src=\"https://lh3.googleusercontent.com/UiNooY4LUgW_oTvpsNhPpQzsstV5W8F7rYgxgGBD85cWJoLmrOzhVs_ksK_vgx40SHs7jCqkTkCk=e14-rj-sc0xffffff-h130-w32\" alt=\"Vertex AI logo\">\n",
" <img src=\"https://www.gstatic.com/images/branding/gcpiconscolors/vertexai/v1/32px.svg\" alt=\"Vertex AI logo\">\n",
" Open in Vertex AI Workbench\n",
" </a>\n",
" </td> \n",
@@ -32,12 +32,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/community/feature_store/sdk-feature-store.ipynb\"\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/community/feature_store/sdk-feature-store.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_image_classification_batch.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_image_classification_batch.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_image_classification_export_edge.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_image_classification_export_edge.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_image_classification_online.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_image_classification_online.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_image_classification_online_proxy.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_image_classification_online_proxy.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_image_object_detection_batch.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_image_object_detection_batch.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_image_object_detection_export_edge.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_image_object_detection_export_edge.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_image_object_detection_online.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_image_object_detection_online.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_image_segmentation_batch.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_image_segmentation_batch.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_image_segmentation_online.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_image_segmentation_online.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_tabular_binary_classification_batch.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_tabular_binary_classification_batch.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_tabular_binary_classification_online.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_tabular_binary_classification_online.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_tabular_classification_batch.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_tabular_classification_batch.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_tabular_classification_batch_explain.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_tabular_classification_batch_explain.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_tabular_classification_export_cloud.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_tabular_classification_export_cloud.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_tabular_classification_online.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_tabular_classification_online.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_tabular_classification_online_explain.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_tabular_classification_online_explain.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_tabular_forecasting_batch.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_tabular_forecasting_batch.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_tabular_regression_online_bq.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_tabular_regression_online_bq.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_text_classification_batch.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_text_classification_batch.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_text_classification_online.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_text_classification_online.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_text_entity_extraction_batch.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_text_entity_extraction_batch.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_text_entity_extraction_online.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_text_entity_extraction_online.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_text_multi-label_classification_batch.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_text_multi-label_classification_batch.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_text_multi-label_classification_online.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_text_multi-label_classification_online.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_text_sentiment_analysis_batch.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_text_sentiment_analysis_batch.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_text_sentiment_analysis_online.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_text_sentiment_analysis_online.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_video_action_recognition_batch.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_video_action_recognition_batch.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_video_classification_batch.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_video_classification_batch.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_video_object_tracking_batch.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/automl/showcase_automl_video_object_tracking_batch.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_image_classification_batch.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_image_classification_batch.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_image_classification_batch_explain.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_image_classification_batch_explain.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_image_classification_online.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_image_classification_online.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_image_classification_online_ab_testing.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_image_classification_online_ab_testing.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_image_classification_online_container.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_image_classification_online_container.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_image_classification_online_explain.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_image_classification_online_explain.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -35,18 +35,18 @@
"\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/community/gapic/custom/showcase_custom_image_classification_online_explain_example_based_api.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/community/gapic/custom/showcase_custom_image_classification_online_explain_example_based_api.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https://raw.githubusercontent.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/notebooks/community/gapic/custom/showcase_custom_image_classification_online_explain_example_based_api.ipynb\">\n",
" <img src=\"https://lh3.googleusercontent.com/UiNooY4LUgW_oTvpsNhPpQzsstV5W8F7rYgxgGBD85cWJoLmrOzhVs_ksK_vgx40SHs7jCqkTkCk=e14-rj-sc0xffffff-h130-w32\" alt=\"Vertex AI logo\">\n",
" <img src=\"https://www.gstatic.com/images/branding/gcpiconscolors/vertexai/v1/32px.svg\" alt=\"Vertex AI logo\">\n",
" Open in Vertex AI Workbench\n",
" </a>\n",
" </td> \n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_image_classification_online_exported_ds.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_image_classification_online_exported_ds.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_image_classification_online_pipeline.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_image_classification_online_pipeline.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_image_classification_online_raw.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_image_classification_online_raw.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_image_classification_online_tfserving.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_image_classification_online_tfserving.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_image_super_resolution_online_post.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_image_super_resolution_online_post.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_tabular_classification_online_exported_ds.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_tabular_classification_online_exported_ds.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_tabular_regression_batch.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_tabular_regression_batch.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_tabular_regression_batch_explain.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_tabular_regression_batch_explain.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_tabular_regression_online.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_tabular_regression_online.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_tabular_regression_online_container.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_tabular_regression_online_container.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_tabular_regression_online_explain.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_tabular_regression_online_explain.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_tabular_regression_online_pipeline.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_tabular_regression_online_pipeline.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_tabular_regression_online_tfserving.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_tabular_regression_online_tfserving.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_text_binary_classification_batch.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_text_binary_classification_batch.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_text_binary_classification_online.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_text_binary_classification_online.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_text_binary_classification_online_container.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_text_binary_classification_online_container.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_text_binary_classification_online_pipeline.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_text_binary_classification_online_pipeline.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_text_binary_classification_online_tfserving.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_text_binary_classification_online_tfserving.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_text_classification_online_exported_ds.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_custom_text_classification_online_exported_ds.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_hyperparmeter_tuning_image_classification.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_hyperparmeter_tuning_image_classification.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_hyperparmeter_tuning_tabular_regression.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_hyperparmeter_tuning_tabular_regression.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_hyperparmeter_tuning_text_binary_classification.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_hyperparmeter_tuning_text_binary_classification.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_local_image_classification_online.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_local_image_classification_online.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_local_tabular_regression_online.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_local_tabular_regression_online.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_local_text_binary_classification_online.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_local_text_binary_classification_online.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,12 +34,12 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_tfhub_image_classification_online.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/gapic/custom/showcase_tfhub_image_classification_online.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -43,22 +43,22 @@
"<table align=\"left\">\n",
" <td style=\"text-align: center\">\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/community/generative_ai/backoff_and_retry_for_LLMs.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Google Colaboratory logo\"><br> Open in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Google Colaboratory logo\"><br> Open in Colab\n",
" </a>\n",
" </td>\n",
" <td style=\"text-align: center\">\n",
" <a href=\"https://console.cloud.google.com/vertex-ai/colab/import/https:%2F%2Fraw.githubusercontent.com%2FGoogleCloudPlatform%2Fvertex-ai-samples%2Fmain%2Fnotebooks%2Fcommunity%2Fgenerative_ai%2Fbackoff_and_retry_for_LLMs.ipynb\">\n",
" <img width=\"32px\" src=\"https://cloud.google.com/ml-engine/images/colab-enterprise-logo-32px.png\" alt=\"Google Cloud Colab Enterprise logo\"><br> Open in Colab Enterprise\n",
" <img width=\"32px\" src=\"https://lh3.googleusercontent.com/JmcxdQi-qOpctIvWKgPtrzZdJJK-J3sWE1RsfjZNwshCFgE_9fULcNpuXYTilIR2hjwN\" alt=\"Google Cloud Colab Enterprise logo\"><br> Open in Colab Enterprise\n",
" </a>\n",
" </td> \n",
" <td style=\"text-align: center\">\n",
" <a href=\"https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https://raw.githubusercontent.com/GoogleCloudPlatform/vertex-ai-samples/main/notebooks/community/generative_ai/backoff_and_retry_for_LLMs.ipynb\">\n",
" <img src=\"https://lh3.googleusercontent.com/UiNooY4LUgW_oTvpsNhPpQzsstV5W8F7rYgxgGBD85cWJoLmrOzhVs_ksK_vgx40SHs7jCqkTkCk=e14-rj-sc0xffffff-h130-w32\" alt=\"Vertex AI logo\"><br> Open in Workbench\n",
" <img src=\"https://www.gstatic.com/images/branding/gcpiconscolors/vertexai/v1/32px.svg\" alt=\"Vertex AI logo\"><br> Open in Workbench\n",
" </a>\n",
" </td>\n",
" <td style=\"text-align: center\">\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/community/generative_ai/backoff_and_retry_for_LLMs.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\"><br> View on GitHub\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\"><br> View on GitHub\n",
" </a>\n",
" </td>\n",
"</table>"
@@ -35,18 +35,18 @@
"\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/googleapis/python-bigquery-dataframes/tree/main/notebooks/getting_started/bq_dataframes_llm_code_generation.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/googleapis/python-bigquery-dataframes/tree/main/notebooks/getting_started/bq_dataframes_llm_code_generation.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https://raw.githubusercontent.com/googleapis/python-bigquery-dataframes/tree/main/notebooks/getting_started/bq_dataframes_llm_code_generation.ipynb\">\n",
" <img src=\"https://lh3.googleusercontent.com/UiNooY4LUgW_oTvpsNhPpQzsstV5W8F7rYgxgGBD85cWJoLmrOzhVs_ksK_vgx40SHs7jCqkTkCk=e14-rj-sc0xffffff-h130-w32\" alt=\"Vertex AI logo\">\n",
" <img src=\"https://www.gstatic.com/images/branding/gcpiconscolors/vertexai/v1/32px.svg\" alt=\"Vertex AI logo\">\n",
" Open in Vertex AI Workbench\n",
" </a>\n",
" </td> \n",
@@ -34,18 +34,18 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/googleapis/python-bigquery-dataframes/blob/main/notebooks/generative_ai/bq_dataframes_ml_drug_name_generation.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/googleapis/python-bigquery-dataframes/blob/main/notebooks/generative_ai/bq_dataframes_ml_drug_name_generation.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https://raw.githubusercontent.com/googleapis/python-bigquery-dataframes/blob/main/notebooks/generative_ai/bq_dataframes_ml_drug_name_generation.ipynb\">\n",
" <img src=\"https://lh3.googleusercontent.com/UiNooY4LUgW_oTvpsNhPpQzsstV5W8F7rYgxgGBD85cWJoLmrOzhVs_ksK_vgx40SHs7jCqkTkCk=e14-rj-sc0xffffff-h130-w32\" alt=\"Vertex AI logo\">\n",
" <img src=\"https://www.gstatic.com/images/branding/gcpiconscolors/vertexai/v1/32px.svg\" alt=\"Vertex AI logo\">\n",
" Open in Vertex AI Workbench\n",
" </a>\n",
" </td> \n",
@@ -45,18 +45,18 @@
"\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/community/generative_ai/text_embedding_api_cloud_next_new_models.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/community/generative_ai/text_embedding_api_cloud_next_new_models.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https://raw.githubusercontent.com/GoogleCloudPlatform/vertex-ai-samples/main/notebooks/community/generative_ai/text_embedding_api_cloud_next_new_models.ipynb\">\n",
" <img src=\"https://lh3.googleusercontent.com/UiNooY4LUgW_oTvpsNhPpQzsstV5W8F7rYgxgGBD85cWJoLmrOzhVs_ksK_vgx40SHs7jCqkTkCk=e14-rj-sc0xffffff-h130-w32\" alt=\"Vertex AI logo\">\n",
" <img src=\"https://www.gstatic.com/images/branding/gcpiconscolors/vertexai/v1/32px.svg\" alt=\"Vertex AI logo\">\n",
" Open in Vertex AI Workbench\n",
" </a>\n",
" </td> \n",
@@ -42,18 +42,18 @@
"\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/hyperparameter_tuning/distributed-hyperparameter-tuning.ipynb\"\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/community/hyperparameter_tuning/distributed-hyperparameter-tuning.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
" <td> <td>\n",
" <a href=\"https://console.cloud.google.com/ai/platform/notebooks/deploy-notebook?download_url=https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/community/hyperparameter_tuning/distributed-hyperparameter-tuning.ipynb\">\n",
" <img src=\"https://lh3.googleusercontent.com/UiNooY4LUgW_oTvpsNhPpQzsstV5W8F7rYgxgGBD85cWJoLmrOzhVs_ksK_vgx40SHs7jCqkTkCk=e14-rj-sc0xffffff-h130-w32\" alt=\"Vertex AI logo\">\n",
" <img src=\"https://www.gstatic.com/images/branding/gcpiconscolors/vertexai/v1/32px.svg\" alt=\"Vertex AI logo\">\n",
"Open in Vertex AI Workbench\n",
" </a>\n",
" </td>\n",
@@ -33,19 +33,19 @@
"\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/community/matching_engine/matching_engine_for_indexing.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\">\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\">\n",
" Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/community/matching_engine/matching_engine_for_indexing.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https://raw.githubusercontent.com/GoogleCloudPlatform/vertex-ai-samples/main/notebooks/community/matching_engine/matching_engine_for_indexing.ipynb\">\n",
" <img src=\"https://lh3.googleusercontent.com/UiNooY4LUgW_oTvpsNhPpQzsstV5W8F7rYgxgGBD85cWJoLmrOzhVs_ksK_vgx40SHs7jCqkTkCk=e14-rj-sc0xffffff-h130-w32\" alt=\"Vertex AI logo\">\n",
" <img src=\"https://www.gstatic.com/images/branding/gcpiconscolors/vertexai/v1/32px.svg\" alt=\"Vertex AI logo\">\n",
" Open in Vertex AI Workbench\n",
" </a>\n",
" </td> \n",
@@ -34,18 +34,18 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/matching_engine/sdk_matching_engine_create_text_to_image_embeddings.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/matching_engine/sdk_matching_engine_create_text_to_image_embeddings.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https://raw.githubusercontent.com/GoogleCloudPlatform/vertex-ai-samples/main/notebooks/official/matching_engine/sdk_matching_engine_create_text_to_image_embeddings.ipynb\">\n",
" <img src=\"https://lh3.googleusercontent.com/UiNooY4LUgW_oTvpsNhPpQzsstV5W8F7rYgxgGBD85cWJoLmrOzhVs_ksK_vgx40SHs7jCqkTkCk=e14-rj-sc0xffffff-h130-w32\" alt=\"Vertex AI logo\">\n",
" <img src=\"https://www.gstatic.com/images/branding/gcpiconscolors/vertexai/v1/32px.svg\" alt=\"Vertex AI logo\">\n",
" Open in Vertex AI Workbench\n",
" </a>\n",
" </td>\n",
@@ -38,7 +38,7 @@
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/community/matching_engine/stream_update_matching_engine.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img width=\"32px\" src=\"https://www.svgrepo.com/download/217753/github.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
@@ -34,17 +34,17 @@
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/community/ml_ops/stage1/get_started_bq_datasets.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"GitHub logo\">\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/community/ml_ops/stage1/get_started_bq_datasets.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" <img src=\"https://www.gstatic.com/pantheon/images/bigquery/welcome_page/colab-logo.svg\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https://raw.githubusercontent.com/GoogleCloudPlatform/vertex-ai-samples/main/notebooks/community/ml_ops/stage1/get_started_bq_datasets.ipynb\">\n",
" <img src=\"https://lh3.googleusercontent.com/UiNooY4LUgW_oTvpsNhPpQzsstV5W8F7rYgxgGBD85cWJoLmrOzhVs_ksK_vgx40SHs7jCqkTkCk=e14-rj-sc0xffffff-h130-w32\" alt=\"Vertex AI logo\">\n",
" <img src=\"https://www.gstatic.com/images/branding/gcpiconscolors/vertexai/v1/32px.svg\" alt=\"Vertex AI logo\">\n",
" Open in Vertex AI Workbench\n",
" </a>\n",
" </td>\n",

Some files were not shown because too many files have changed in this diff Show More