Starred repositories
Tensors and Dynamic neural networks in Python with strong GPU acceleration
🏡 Open source home automation that puts local control and privacy first.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Fully open reproduction of DeepSeek-R1
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Avatars for Zoom, Skype and other video-conferencing apps.
End-to-End Object Detection with Transformers
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
Practical Python Programming (course by @dabeaz)
High-Resolution 3D Human Digitization from A Single Image.
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
Fast and Accurate ML in 3 Lines of Code
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.