feast-dev/feast

• Emerald II

Learn how to develop, deploy and iterate on production-grade ML applications.

• 1,869−16 Elo, change today
• 50k stars
• 7.8k forks
• 1.2k watchers
• 8mo ago

git clone https://github.com/GokuMohandas/Made-With-ML.git

• data-engineering
• data-quality
• data-science
• deep-learning

• Bronze V

A curated list of data science blogs

• 1,358−1 Elo, change today
• 6.3k stars
• 1.7k forks
• 2y ago

git clone https://github.com/rushter/data-science-blogs.git

• data-science
• machine-learning

• Gold I

A curated list of references for MLOps

• 1,608−15 Elo, change today
• 14.2k stars
• 2.1k forks
• 1y ago

git clone https://github.com/visenger/awesome-mlops.git

• ai
• data-science
• devops
• engineering

• Gold I

The Data Engineering Cookbook

• 1,604+11 Elo, change today
• 15.5k stars
• 2.7k forks
• 1mo ago

git clone https://github.com/andkret/Cookbook.git

• best-practices
• big-data
• cookbook
• data-engineer

• Silver II

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

• 1,490−4 Elo, change today
• 8k stars
• 975 forks
• 1mo ago

git clone https://github.com/evidentlyai/evidently.git

• data-drift
• data-quality
• data-science
• data-validation

• Platinum V

All course materials for the Zero to Mastery Machine Learning and Data Science course.

• 1,638−3 Elo, change today
• 7.5k stars
• 4.2k forks
• 2y ago

git clone https://github.com/mrdbourke/zero-to-mastery-ml.git

• data-science
• deep-learning
• machine-learning