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Examples and guides for using the OpenAI API
Python Data Science Handbook: full text in Jupyter Notebooks
10 Weeks, 20 Lessons, Data Science for All!
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 ;)
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
The fastai book, published as Jupyter Notebooks
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Data and code behind the articles and graphics at FiveThirtyEight
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
llama3 implementation one matrix multiplication at a time
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》)
The "Python Machine Learning (1st edition)" book code repository and info resource
《Python Cookbook》 3rd Edition Translation
Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM …
Book about interpretable machine learning
The 3rd edition of course.fast.ai
Plain python implementations of basic machine learning algorithms
Materials for the Hugging Face Diffusion Models Course
Lectures on scientific computing with python, as IPython notebooks.
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；欢迎批评指正
Open Content for self-directed learning in data science