Repositories
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fairscale
PyTorch extensions for high performance and large scale training.
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droidlet
A modular embodied agent architecture and platform for building embodied agents
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iopath
A python library that provides common I/O interface across different storage backends.
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hydra
Hydra is a framework for elegantly configuring complex applications
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habitat-sim
A flexible, high-performance 3D simulator for Embodied AI research.
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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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vissl
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
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mmf
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
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ClassyVision
An end-to-end PyTorch framework for image and video classification
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detectron2
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
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mobile-vision
Mobile vision models and code
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CompilerGym
A reinforcement learning toolkit for compiler optimizations
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nevergrad
A Python toolbox for performing gradient-free optimization
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CrypTen
A framework for Privacy Preserving Machine Learning
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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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DomainBed
DomainBed is a suite to test domain generalization algorithms
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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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fastMRI
A large-scale dataset of both raw MRI measurements and clinical MRI images
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barlowtwins
PyTorch implementation of Barlow Twins.
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pytext
A natural language modeling framework based on PyTorch
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fbpcf
Private computation framework library allows developers to perform randomized controlled trials, without leaking information about who participated or what action an individual took. It uses secure multiparty computation to guarantee this privacy. It is suitable for conducting A/B testing, or measuring advertising lift and learning the aggregate…
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BLINK
Entity Linker solution
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differentiable-robot-model
We are implementing differentiable models of robot manipulators, which allows us to learn typically assumed to be known models of robots for control and motion planning. These models can then be used in more complex reinforcement learning settings, hopefully making learning more sample-efficient. Furthermore, such differentiable models can also …
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CParser
A compact C preprocessor and declaration parser written in pure Lua
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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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DPR
Dense Passage Retriever - is a set of tools and models for open domain Q&A task.
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FBTT-Embedding
This is a Tensor Train based compression library to compress sparse embedding tables used in large-scale machine learning models such as recommendation and natural language processing. We showed this library can reduce the total model size by up to 100x in Facebook’s open sourced DLRM model while achieving same model quality. Our implementation …
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nle
The NetHack Learning Environment
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pytorch3d
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
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faiss
A library for efficient similarity search and clustering of dense vectors.
