Curated list of project-based tutorials
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An Open Source Machine Learning Framework for Everyone
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Tensors and Dynamic neural networks in Python with strong GPU acceleration
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4.1, MiniMax-H3, Gemma 4, FLUX and more.
Learn AI Engineering! Learn it. Build it. Ship it for others.
Open Data Platform for analysts, quants and AI agents.
scikit-learn: machine learning in Python
Deep Learning for humans
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Clone a voice in 5 seconds to generate arbitrary speech in real-time
The world's simplest facial recognition api for Python and the command line
100 Days of ML Coding
We write your reusable computer vision tools. 💜
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
Learn how to develop, deploy and iterate on production-grade ML applications.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Streamlit — A faster way to build and share data apps.
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.