CI/CD for Machine Learning (GitOps)

This repo contains code accompanying W&B CI/CD for Machine Learning (GitOps) course. You can sign up for free here.

What we'll ll do in this repo:

• Automate ML pipelines with GitHub Actions
• Automate testing for your ML code
• Implement branch protection rules
• Integrate Github API in your actions
• Integrate W&B API and programmatic reports into ML workflows
• Promote models to the registry with W&B

Resoureces

You can find Github Actions Events that trigger workflows here.

GitHub Actions Special Variables: here

GitHub Actions Expressions: here

Defining outputs for jobs: here

pytest book: https://www.amazon.com/Python-Testing-pytest-Effective-Scalable/dp/1680508601

Mamba: https://github.com/mamba-org/provision-with-micromamba

Setup Python: https://github.com/actions/setup-python

Checkout: https://github.com/actions/checkout

Caching: https://github.com/actions/cache

Advanced GitHub Code Search Beta: https://github.com/features/code-search

Caching: https://github.com/actions/cache

Python client: https://ghapi.fast.ai/

JavaScript client: https://octokit.github.io/rest.js/

ghapi blog post: https://github.blog/2020-12-18-learn-about-ghapi-a-new-third-party-python-client-for-the-github-api/

ghapi docs: https://ghapi.fast.ai/

octokit/rest.js docs: https://octokit.github.io/rest.js/

W&B MLOps Model Development Course: https://www.wandb.courses/courses/effective-mlops-model-development

Weights & Biases Docs: https://docs.wandb.ai/