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habitat-lab
A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.
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ContactPose
Large dataset of hand-object contact, hand- and object-pose, and 2.9 M RGB-D grasp images.
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fairscale
PyTorch extensions for high performance and large scale training.
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hydra
Hydra is a framework for elegantly configuring complex applications
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detectron2
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
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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.
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mmf
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
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fairmotion
Tools to load, process and visualize motion capture data
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pyrobot
PyRobot: An Open Source Robotics Research Platform
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fvcore
Collection of common code that's shared among different research projects in FAIR computer vision team.
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ParlAI
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
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pycls
Codebase for Image Classification Research, written in PyTorch.
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pytorch3d
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
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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.
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KILT
Library for Knowledge Intensive Language Tasks
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ClassyVision
An end-to-end PyTorch framework for image and video classification
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Mephisto
A suite of tools for managing crowdsourcing tasks from the inception through to data packaging for research use
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GraphLog
API for accessing the GraphLog dataset
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habitat-sim
A flexible, high-performance 3D simulator for Embodied AI research.
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dlrm
An implementation of a deep learning recommendation model (DLRM)
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nevergrad
A Python toolbox for performing gradient-free optimization
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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…
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DomainBed
DomainBed is a suite to test domain generalization algorithms
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nle
The NetHack Learning Environment
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CommAI-env
A platform for developing AI systems as described in A Roadmap towards Machine Intelligence - http://arxiv.org/abs/1511.08130
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pytext
A natural language modeling framework based on PyTorch
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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.
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wav2letter
Facebook AI Research's Automatic Speech Recognition Toolkit
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SlowFast
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
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CausalSkillLearning
Codebase for project about unsupervised skill learning via variational inference and causality.
