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🦜🔗 Build context-aware reasoning applications
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Data and code behind the articles and graphics at FiveThirtyEight
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
A crash course in six episodes for software developers who want to become machine learning practitioners.
Various ipython notebooks
Various tutorials given for welcoming new students at MILA.
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
Arabic root finder with neural nets!
Efficient Synchronization of Linux Memory Regions over a Network: A Comparative Study and Implementation (Bachelor's Thesis)