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

Python Data Science Handbook: full text in Jupyter Notebooks

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.

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

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

The fastai book, published as Jupyter Notebooks

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

A collection of various deep learning architectures, models, and tips

Companion webpage to the book "Mathematics For Machine Learning"

Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely

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.

A series of large language models trained from scratch by developers @01-ai

Visualizations for machine learning datasets

A scikit-learn compatible neural network library that wraps PyTorch

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

Code Repository for Machine Learning with PyTorch and Scikit-Learn

Jupyter notebooks for the Natural Language Processing with Transformers book

Probabilistic reasoning and statistical analysis in TensorFlow

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

Collection of useful data science topics along with articles, videos, and code

Jupyter notebooks from the scikit-learn video series

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Algorithms for outlier, adversarial and drift detection

Feature selector is a tool for dimensionality reduction of machine learning datasets

A proof-of-concept jupyter extension which converts english queries into relevant python code

Code, Notebooks and Examples from Practical Business Python