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An Open Source Machine Learning Framework for Everyone
๐ค 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.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
ใๅจๆๅญฆๆทฑๅบฆๅญฆไน ใ๏ผ้ขๅไธญๆ่ฏป่ ใ่ฝ่ฟ่กใๅฏ่ฎจ่ฎบใไธญ่ฑๆ็่ขซ70ๅคไธชๅฝๅฎถ็500ๅคๆๅคงๅญฆ็จไบๆๅญฆใ
๐ Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
๐งโ๐ซ 60+ Implementations/tutorials of deep learning papers with side-by-side notes ๐; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ๐ฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐ง
Learn how to develop, deploy and iterate on production-grade ML applications.
Streamlit โ A faster way to build and share data apps.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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.
Build and share delightful machine learning apps, all in Python. ๐ Star to support our work!