Facebook Research

Repositories

• habitat-lab

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

  python simulator research reinforcement-learning ai computer-vision deep-learning
  Python MIT 155 484 69 (4 issues need help) 11 Updated Sep 17, 2020

• ContactPose

  Large dataset of hand-object contact, hand- and object-pose, and 2.9 M RGB-D grasp images.

  computer-vision robotics dataset rgb contact rgbd mano
  Jupyter Notebook MIT 3 45 0 0 Updated Sep 17, 2020

• fairscale

  PyTorch extensions for high performance and large scale training.
  Python 13 314 6 2 Updated Sep 17, 2020

• hydra

  Hydra is a framework for elegantly configuring complex applications
  Python MIT 214 2,841 51 (4 issues need help) 6 Updated Sep 16, 2020

• detectron2

  Detectron2 is FAIR's next-generation platform for object detection and segmentation.
  Python Apache-2.0 3,008 12,609 69 18 Updated Sep 17, 2020

• simmc

  With the aim of building next generation virtual assistants that can handle multimodal inputs and perform multimodal actions, we introduce two new datasets (both in the virtual shopping domain), the annotation schema, the core technical tasks, and the baseline models. The code for the baselines and the datasets will be opensourced.
  Python 20 65 1 0 Updated Sep 16, 2020

• mmf

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

  deep-learning dialog pytorch vqa pretrained-models captioning multimodal
  Python 540 3,843 46 (12 issues need help) 14 Updated Sep 17, 2020

• fairmotion

  Tools to load, process and visualize motion capture data
  Python 12 196 0 0 Updated Sep 17, 2020

• pyrobot

  PyRobot: An Open Source Robotics Research Platform
  Python MIT 248 1,751 4 5 Updated Sep 16, 2020

• fvcore

  Collection of common code that's shared among different research projects in FAIR computer vision team.
  Python Apache-2.0 77 532 3 2 Updated Sep 17, 2020

• ParlAI

  A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
  Python MIT 1,347 6,592 86 (4 issues need help) 17 Updated Sep 17, 2020

• pycls

  Codebase for Image Classification Research, written in PyTorch.
  Python MIT 129 1,297 7 0 Updated Sep 16, 2020

• pytorch3d

  PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
  Python 405 3,699 50 (1 issue needs help) 12 Updated Sep 16, 2020

• dachshund

  Dachshund is a graph mining library written in Rust. It provides high performance data structures for multiple kinds of graphs, from simple undirected graphs to typed hypergraphs. Dachshund also provides algorithms for common tasks for graph mining and analysis, ranging from shortest paths to graph spectral analysis.
  Rust MIT 3 13 1 1 Updated Sep 16, 2020

• KILT

  Library for Knowledge Intensive Language Tasks
  Python MIT 20 190 0 1 Updated Sep 16, 2020

• ClassyVision

  An end-to-end PyTorch framework for image and video classification
  Python MIT 158 905 13 24 Updated Sep 16, 2020

• Mephisto

  A suite of tools for managing crowdsourcing tasks from the inception through to data packaging for research use
  Python MIT 2 26 19 (1 issue needs help) 3 Updated Sep 16, 2020

• GraphLog

  API for accessing the GraphLog dataset
  Jupyter Notebook 8 74 0 0 Updated Sep 16, 2020

• habitat-sim

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

  simulator ai computer-vision cplusplus robotics sim2real
  C++ MIT 160 944 75 (1 issue needs help) 24 Updated Sep 16, 2020

• dlrm

  An implementation of a deep learning recommendation model (DLRM)
  Python MIT 508 2,353 5 5 Updated Sep 16, 2020

• nevergrad

  A Python toolbox for performing gradient-free optimization
  Python MIT 251 2,676 48 25 Updated Sep 16, 2020

• mc

  I have implemented in both python and R two papers for estimating subgroup means under misclassification, which are useful for data analyses. T. K. MAK, W. K. LI, A new method for estimating subgroup means under misclassification, Biometrika, Volume 75, Issue 1, March 1988, Pages 105–111, https//doi.org/10.1093/biomet/75.1.105 Selén, Jan. “Adjus…
  Jupyter Notebook Apache-2.0 1 4 0 0 Updated Sep 16, 2020

• DomainBed

  DomainBed is a suite to test domain generalization algorithms
  Python MIT 18 61 4 1 Updated Sep 16, 2020

• nle

  The NetHack Learning Environment
  C 20 245 4 (1 issue needs help) 2 Updated Sep 16, 2020

• CommAI-env

  A platform for developing AI systems as described in A Roadmap towards Machine Intelligence - http://arxiv.org/abs/1511.08130
  219 1,351 0 3 Updated Sep 16, 2020

• pytext

  A natural language modeling framework based on PyTorch
  Python 748 5,988 49 (1 issue needs help) 70 Updated Sep 16, 2020

• svinfer

  The FORT team has released differentially private Condor data to external researchers in H1 2020. It is known that analyzing DP data via classic statistical models will lead to biased conclusions. We are releasing at-scale statistical models which provide valid inference from DP data.
  Python Apache-2.0 1 4 0 0 Updated Sep 16, 2020

• wav2letter

  Facebook AI Research's Automatic Speech Recognition Toolkit

  deep-learning cpp end-to-end speech-recognition wav2letter
  Python 908 5,360 105 3 Updated Sep 15, 2020

• SlowFast

  PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
  Python Apache-2.0 521 2,902 106 (1 issue needs help) 1 Updated Sep 15, 2020

• CausalSkillLearning

  Codebase for project about unsupervised skill learning via variational inference and causality.
  Python 2 7 1 0 Updated Sep 15, 2020