Google open sources tools to support AI model development
Finetune LLMs on your own consumer hardware using tools from PyTorch and Hugging Face ecosystem
Understanding GPU Memory 2: Finding and Removing Reference Cycles
PyTorch: Compiling NumPy code into C++ or CUDA via torch.compile
Introduction to Kernel Methods for Machine Learning
The Kernel Cookbook: Advice on Covariance functions
An Intuitive Tutorial to Gaussian Processes Regression
Understanding UMAP - Google PAIR
MIT OpenCourseWare: Introduction To Machine Learning
DuckAI - An open-source ML research community
Style Guide for Python Code: PEP 8
MIT OpenCourseWare: Statistical Learning Theory
MIT OpenCourseWare: Mathematics Of Machine Learning
Durham University Materials for COMP3547 (Deep Learning) and COMP3667 (Reinforcement Learning) from Dr. Robert Lieck
Rules of Machine Learning from Google
Coding Practices for Python/ML
Tutorial: Image Recognition with CNN in Matlab
Tutorial: State of Charge Estimation with EKF and SVSF in Matlab
Standford University Cheat Sheets for ML (web version)
Mathematics for Neural Networks
