Repository Index

Python Data Science Handbook: full text in Jupyter Notebooks

• scikit-learn
• numpy
• python
• jupyter-notebook

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 ;)

• bayesian-methods
• pymc
• mathematical-analysis
• jupyter-notebook

The fastai book, published as Jupyter Notebooks

• notebooks
• fastai
• deep-learning
• machine-learning

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

• machine-learning
• trading
• investment
• finance

TranslatedThe pytorch handbook is an open-source book that aims to help friends who want to use PyTorch for deep learning development and research get started quickly. All of the PyTorch tutorials it contains have been tested to ensure they run successfully.

• pytorch
• pytorch-tutorials
• pytorch-handbook
• deep-learning

TranslatedThis project changes the MXNet implementations in the original book 《动手学深度学习》 (Dive into Deep Learning) into PyTorch implementations.

• deep-learning
• deep-learning-tutorial
• pytorch
• pytorch-tutorial

[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)

Translated"Lee Hung-yi's Deep Learning Tutorial" (recommended by Professor Hung-yi Lee 👍, the Apple Book 🍎), PDF download address: https://github.com/datawhalechina/leedl-tutorial/releases

• machine-learning
• deep-learning
• leedl-tutorial
• cnn

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.

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

• pytorch
• pytorch-tutorials
• pytorch-tutorials-cn
• deep-learning

The "Python Machine Learning (1st edition)" book code repository and info resource

• machine-learning
• machine-learning-algorithms
• logistic-regression
• data-science

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

• numpy
• python
• linear-algebra
• data-science

Understanding Deep Learning - Simon J.D. Prince

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

TranslatedBook_3_"Elements of Mathematics" | Iris Book series: from addition, subtraction, multiplication and division to machine learning; now on sale; corrections are still welcome, and readers who submit many corrections will also receive free books!

• data-science
• linear-algebra
• machine-learning
• mathematics

The "Python Machine Learning (2nd edition)" book code repository and info resource

• machine-learning
• deep-learning
• python
• scikit-learn

Book about interpretable machine learning

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

• dsp
• python
• signal-processing
• textbook

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

• machine-learning
• predictive-modeling
• islr
• statistical-learning

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

• deep-learning
• d2l
• data-science
• pytorch-implmention

Text and supporting code for Think Stats, 2nd Edition

• data-science
• python
• statistics
• textbook

This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks

• phi3
• phi3-testing
• phi3-vision
• phi4

Book_2_《可视之美》 | 鸢尾花书：从加减乘除到机器学习，欢迎批评指正