jupyter-notebook

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

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】

100-Days-Of-ML-Code中文版

Best Practices on Recommendation Systems

The interactive graphing library for Python :sparkles:

A neural network that transforms a design mock-up into a static website.

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

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

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》)

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Best Practices, code samples, and documentation for Computer Vision.

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 curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

AI实战-practicalAI 中文版

NYU Deep Learning Spring 2020

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

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

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

MongoDB's Generative AI Showcase: an exhaustive collection of examples and sample applications covering Retrieval-Augmented Generation (RAG), AI agents, and industry-specific use cases.