* PyTorch on Vertex - Updated to match GCPC v0.2.2 API
* PyTorch on Vertex - Fixes based on review comments
Co-authored-by: Karl Weinmeister <11586922+kweinmeister@users.noreply.github.com>
* Original alphafold Dockerfile and notebook as a starting point
* Migrate dependencies from notebook into Dockerfile
* adding build_docker.sh script for building docker image
* remove cell, and replace with accelerator configuration cell. Also remove dependency on google.colab
* dockerfile remove redundant
* Changing text in launch button
* add vertexai.png
* update notebook, including permalink to vertexai.png
* updating notebook markdown and correcting the vertexai.png image display
* add div brackets and fix broken launch link
* table instead of div
* width=40
* resizing vertexai image
* updated FAQ
* updated Licence
* add back in the output_file zip
* launch button at top of notebook
* default workdir aligned with JuptyerLab home directory
* intro paragraph
* update CPU instructions
* exchange notebook title and launch header
* Dockerfile license
* collapsing cells
* splitting out sequences into un-collapsed cell
* Update licence
* update download instructions text
* Remove "double-click" text
* hide cells
* Increasing indent to pass linting for alphafold_on_gcp (#224)
* increasing indent to pass linting
* more linting
* wild
* AMBER relaxation f-string
* hidden cells
* wild commit
* move links to main
* added sklearn-example
* nb formatting
* added readme
* added endpoint to notebook
* nb formatting
* added endpoint prediction example
* nb formatting
* fixed request
* minor woring fixes in docstrings
* added codeowner and included PR feedback
Co-authored-by: Maximilian Engelhardt <maximilian.engelhardt@ing.com>
* Made the Reinforcement Learning components shareable
Also made couple of fixes.
* Updated the sample pipeline
* Replaced .after with data passing
* Formatted the notebook using tensorflow_docs.tools.nbfmt
* Fixed all linter errors
* Updated the component URLs
* pytorch on vertex: initial commit
* pytorch on vertex: reorg dir structure with new repo changes
* pytorch on vertex: add cleanup script and update README files
* pytorch on vertex: remove references to bucket names
* PyTorch on Vertex: Updated with linter suggested changes
* PyTorch on Vertex: dry-run and set resource names consistent with app name
* PyTorch on Vertex: update CODEOWNERS
* Pytorch on Vertex: Reorganized directory structure
* Added step-by-step and pipeline tutorials for reinforcement learning with Vertex AI.
* Add READMEs for the step-by-step and end-to-end MLOps pipeline prototypes.
* Make dir and file names more descriptive, and adjust embedded links. Directly load dataset from remote bucket.
* Add TF-Agents bandits movie RecSys demo owner.
