Stars
Python Data Science Handbook: full text in Jupyter Notebooks
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
A game theoretic approach to explain the output of any machine learning model.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Anthropic's educational courses
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Data and code behind the articles and graphics at FiveThirtyEight
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Companion webpage to the book "Mathematics For Machine Learning"
This repository contains implementations and illustrative code to accompany DeepMind publications
The "Python Machine Learning (1st edition)" book code repository and info resource
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Automatic extraction of relevant features from time series:
Notebooks and code for the book "Introduction to Machine Learning with Python"
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
A scikit-learn compatible neural network library that wraps PyTorch
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Book about interpretable machine learning
The 3rd edition of course.fast.ai
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.