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21 Lessons, Get Started Building with Generative AI

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Examples and guides for using the OpenAI API

12 Lessons to Get Started Building AI Agents

12 Weeks, 24 Lessons, AI for All!

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

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

🔊 Text-Prompted Generative Audio Model

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

10 Weeks, 20 Lessons, Data Science for All!

The fastai deep learning library

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

A simple screen parsing tool towards pure vision based GUI agent

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

Python programs, usually short, of considerable difficulty, to perfect particular skills.

面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.

A guidance language for controlling large language models.

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Get started with building Fullstack Agents using Gemini 2.5 and LangGraph

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

Examples and guides for using the Gemini API

《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

FinRL®: Financial Reinforcement Learning. 🔥

A multi-voice TTS system trained with an emphasis on quality

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

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.

Jupyter Interactive Notebook