Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Python Data Science Handbook: full text in Jupyter Notebooks

Google Research

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

The fastai deep learning library

A game theoretic approach to explain the output of any machine learning model.

The fastai book, published as Jupyter Notebooks

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Solve puzzles. Learn CUDA.

Public facing notes page

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…

Python code for "Probabilistic Machine learning" book by Kevin Murphy

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.

A course in reinforcement learning in the wild

A scikit-learn compatible neural network library that wraps PyTorch

fast.ai Courses

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

A collection of infrastructure and tools for research in neural network interpretability.

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

Model API for GALACTICA

A Haskell kernel for the Jupyter project.

A python tutorial on bayesian modeling techniques (PyMC3)

Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

Source code for my collection of articles on using pandas.

Tutorials and training material for the H2O Machine Learning Platform

Lab materials for the Full Stack Deep Learning Course

Fast, general, and tested differentiable structured prediction in PyTorch