
recommenders
recommenders-team/recommendersBest Practices on Recommendation Systems
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198 apps projects. End-user AI applications you can run or self-host.
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Best Practices on Recommendation Systems

💻 vibe coding 101|The first course for AI-native product builders.

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Best Practices, code samples, and documentation for Computer Vision.

22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.