Meta Research

Top repositories by stars

• facebookresearch/segment-anything(on leaderboard)

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

  Jupyter Notebook53,425
• facebookresearch/faiss(on leaderboard)

  A library for efficient similarity search and clustering of dense vectors.

  C++39,128
• facebookresearch/detectron2(on leaderboard)

  Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

  Python34,083
• facebookresearch/fairseq(on leaderboard)

  Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

  Python32,156
• facebookresearch/fastText

  Library for fast text representation and classification.

  HTML26,492
• facebookresearch/Detectron

  FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

  Python26,406
• facebookresearch/audiocraft

  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.

  Jupyter Notebook23,001
• facebookresearch/sam2

  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.

  Jupyter Notebook18,510
• facebookresearch/detr

  End-to-End Object Detection with Transformers

  Python15,113
• facebookresearch/AnimatedDrawings

  Code to accompany "A Method for Animating Children's Drawings of the Human Figure"

  Python12,765
• facebookresearch/vggt

  [CVPR 2025 Best Paper Award] VGGT: Visual Geometry Grounded Transformer

  Python12,458
• facebookresearch/dinov2

  PyTorch code and models for the DINOv2 self-supervised learning method.

  Jupyter Notebook12,403
• facebookresearch/seamless_communication

  Foundational Models for State-of-the-Art Speech and Text Translation

  Jupyter Notebook11,748
• facebookresearch/ParlAI

  A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

  Python10,627
• facebookresearch/xformers

  Hackable and optimized Transformers building blocks, supporting a composable construction.

  Python10,341
• facebookresearch/hydra

  Hydra is a framework for elegantly configuring complex applications

  Python10,199
• facebookresearch/nougat

  Implementation of Nougat Neural Optical Understanding for Academic Documents

  Python9,834
• facebookresearch/pytorch3d

  PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

  Python9,796
• facebookresearch/pifuhd

  High-Resolution 3D Human Digitization from A Single Image.

  Python9,760
• facebookresearch/demucs

  Code for the paper Hybrid Spectrogram and Waveform Source Separation

  Python9,757
• facebookresearch/dinov3

  Reference PyTorch implementation and models for DINOv3

  Jupyter Notebook9,603
• facebookresearch/maskrcnn-benchmark

  Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

  Python9,387
• facebookresearch/ImageBind

  ImageBind One Embedding Space to Bind Them All

  Python8,974
• facebookresearch/DiT

  Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

  Python8,361
• facebookresearch/mae

  PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

  Python8,230
• facebookresearch/sam3

  The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Python7,741
• facebookresearch/dino

  PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

  Python7,446
• facebookresearch/SlowFast

  PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

  Python7,286
• facebookresearch/DensePose

  A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

  Jupyter Notebook7,159
• facebookresearch/metaseq

  Repo for external large-scale work

  Python6,544
• facebookresearch/pytext

  A natural language modeling framework based on PyTorch

  Python6,308
• facebookresearch/ConvNeXt

  Code release for ConvNeXt model

  Python6,294
• facebookresearch/Kats

  Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

  Python6,281
• facebookresearch/sam-3d-objects

  SAM 3D Objects

  Python6,002
• facebookresearch/mmf

  A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

  Python5,618
• facebookresearch/sapiens

  High-resolution models for human tasks.

  Python5,288
• facebookresearch/moco

  PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

  5,116
• facebookresearch/AugLy

  A data augmentations library for audio, image, text, and video.

  Python5,070
• facebookresearch/co-tracker

  CoTracker is a model for tracking any point (pixel) on a video.

  Jupyter Notebook4,826
• facebookresearch/lingua

  Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.

  Python4,753
• facebookresearch/DrQA

  Reading Wikipedia to Answer Open-Domain Questions

  Python4,476
• facebookresearch/deit

  Official DeiT repository

  Python4,322
• facebookresearch/nevergrad

  A Python toolbox for performing gradient-free optimization

  Python4,149
• facebookresearch/flow_matching

  A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.

  Python4,136
• facebookresearch/dlrm

  An implementation of a deep learning recommendation model (DLRM)

  Python4,017
• facebookresearch/VideoPose3D

  Efficient 3D human pose estimation in video using 2D keypoint trajectories

  Python3,985
• facebookresearch/esm

  Evolutionary Scale Modeling (esm): Pretrained language models for proteins

  Python3,979
• facebookresearch/StarSpace

  Learning embeddings for classification, retrieval and ranking.

  C++3,959
• facebookresearch/encodec

  State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.

  Python3,891
• facebookresearch/fairseq-lua

  Facebook AI Research Sequence-to-Sequence Toolkit

  Lua3,730
• facebookresearch/ReAgent

  A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

  Python3,682
• facebookresearch/LASER

  Language-Agnostic SEntence Representations

  Jupyter Notebook3,658
• facebookresearch/pytorchvideo

  A deep learning library for video understanding research.

  Python3,543
• facebookresearch/jepa

  PyTorch code and models for V-JEPA self-supervised learning from video.

  Python3,534
• facebookresearch/habitat-sim

  A flexible, high-performance 3D simulator for Embodied AI research.

  C++3,529
• facebookresearch/PyTorch-BigGraph

  Generate embeddings from large-scale graph-structured data.

  Python3,414
• facebookresearch/fairscale

  PyTorch extensions for high performance and large scale training.

  Python3,399
• facebookresearch/sam-audio

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

  Python3,318
• facebookresearch/vissl

  VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

  Jupyter Notebook3,293
• facebookresearch/Mask2Former

  Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

  Python3,246
• facebookresearch/MUSE

  A library for Multilingual Unsupervised or Supervised word Embeddings

  Python3,236
• facebookresearch/ijepa

  Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive architecture."

  Python3,232
• facebookresearch/deepmask

  Torch implementation of DeepMask and SharpMask

  Lua3,104
• facebookresearch/vjepa2

  PyTorch code and models for VJEPA2 self-supervised learning from video.

  Python3,010
• facebookresearch/Pearl

  A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.

  Jupyter Notebook2,978
• facebookresearch/XLM

  PyTorch original implementation of Cross-lingual Language Model Pretraining.

  Python2,922
• facebookresearch/map-anything

  MapAnything: Universal Feed-Forward Metric 3D Reconstruction

  Python2,912
• facebookresearch/audio2photoreal

  Code and dataset for photorealistic Codec Avatars driven from audio

  Python2,854
• facebookresearch/habitat-lab

  A modular high-level library to train embodied AI agents across a variety of tasks and environments.

  Python2,844
• facebookresearch/hiplot

  HiPlot makes understanding high dimensional data easy

  TypeScript2,801
• facebookresearch/omnilingual-asr

  Omnilingual ASR Open-Source Multilingual SpeechRecognition for 1600+ Languages

  Python2,650
• facebookresearch/sam-3d-body

  The repository provides code for running inference with the SAM 3D Body Model (3DB), links for downloading the trained model checkpoints and datasets, and example notebooks that show how to use the model.

  Python2,616
• facebookresearch/large_concept_model

  Large Concept Models: Language modeling in a sentence representation space

  Python2,333
• facebookresearch/pyrobot

  PyRobot: An Open Source Robotics Research Platform

  Python2,309
• facebookresearch/InferSent

  InferSent sentence embeddings

  Jupyter Notebook2,280
• facebookresearch/frankmocap

  A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator

  Python2,274
• facebookresearch/schedule_free

  Schedule-Free Optimization in PyTorch

  Python2,257
• facebookresearch/fvcore

  Collection of common code that's shared among different research projects in FAIR computer vision team.

  Python2,225
• facebookresearch/pycls

  Codebase for Image Classification Research, written in PyTorch.

  Python2,169
• facebookresearch/perception_models

  State-of-the-art Image & Video CLIP, Multimodal Large Language Models, and More!

  Jupyter Notebook2,166
• facebookresearch/SparseConvNet

  Submanifold sparse convolutional networks

  C++2,141
• facebookresearch/SentEval

  A python tool for evaluating the quality of sentence embeddings.

  Python2,105
• facebookresearch/ELF

  An End-To-End, Lightweight and Flexible Platform for Game Research

  C++2,096
• facebookresearch/darkforestGo

  DarkForest, the Facebook Go engine.

  C2,093
• facebookresearch/swav

  PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

  Python2,087
• facebookresearch/chameleon

  Repository for Meta Chameleon, a mixed-modal early-fusion foundation model from FAIR.

  Python2,083
• facebookresearch/blt

  Code for BLT research paper

  Python2,029
• facebookresearch/theseus

  A library for differentiable nonlinear optimization

  Python2,003
• facebookresearch/Detic

  Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".

  Python1,998
• facebookresearch/video-nonlocal-net

  Non-local Neural Networks for Video Classification

  Python1,995
• facebookresearch/ConvNeXt-V2

  Code release for ConvNeXt V2 model

  Python1,967
• facebookresearch/fairchem

  FAIR Chemistry's library of machine learning methods for chemistry

  Python1,948
• facebookresearch/ResNeXt

  Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks

  Lua1,922
• facebookresearch/denoiser

  Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

  Python1,878
• facebookresearch/DPR

  Dense Passage Retriever - is a set of tools and models for open domain Q&A task.

  Python1,858
• facebookresearch/TimeSformer

  The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"

  Python1,824
• facebookresearch/MetaCLIP

  NeurIPS 2025 Spotlight; ICLR2024 Spotlight; CVPR 2024; EMNLP 2024

  Python1,813
• facebookresearch/TensorComprehensions

  A domain specific language to express machine learning workloads.

  C++1,765
• facebookresearch/poincare-embeddings

  PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

  Python1,748
• facebookresearch/votenet

  Deep Hough Voting for 3D Object Detection in Point Clouds

  Python1,747