# deep-learning

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.

Stable Diffusion web UI

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Open Source Computer Vision Library

Learn it. Build it. Ship it for others.

12 Weeks, 24 Lessons, AI for All!

Deepfakes Software For All

We write your reusable computer vision tools. 💜

Machine Learning Systems

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Magikaは、ファイルの中身をAI（人工知能）で分析して、そのファイルが何の種類かを自動的に判定してくれるGoogle製のツールです。たとえば「.docx」のような拡張子がなくても、中身を読み取ってWordファイルなのかPythonのプロ

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

🐍 Geometric Computer Vision Library for Spatial AI

A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.

YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.

Become a cracked AI/ML Research Engineer

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

Open-source inference server and production cluster for all the models your agent needs.

A platform for reproducible world model research and evaluation