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habitat-api
A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.
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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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EGG
EGG: Emergence of lanGuage in Games
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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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pytext
A natural language modeling framework based on PyTorch
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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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hiplot
HiPlot makes understanding high dimensional data easy
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pyrobot
PyRobot: An Open Source Robotics Research Platform
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ClassyVision
An end-to-end PyTorch framework for image and video classification
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poincare-embeddings
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
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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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mmf
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
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nevergrad
A Python toolbox for performing gradient-free optimization
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VMZ
VMZ: Model Zoo for Video Modeling
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pytorch3d
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
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habitat-sim
A flexible, high-performance 3D simulator for Embodied AI research.
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pytorch-dp
Training PyTorch models with differential privacy
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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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ReAgent
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
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pifuhd
High-Resolution 3D Human Digitization from A Single Image.
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you2me
Inferring Body Pose in Egocentric Video via First and Second Person Interactions
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habitat-challenge
Code for the habitat challenge
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dagger
Experiment orchestration
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CrypTen
A framework for Privacy Preserving Machine Learning
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dlrm
An implementation of a deep learning recommendation model (DLRM)
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PyTorch-BigGraph
Generate embeddings from large-scale graph-structured data.
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PoincareMaps
The need to understand cell developmental processes has spawned a plethora of computational methods for discovering hierarchies from scRNAseq data. However, existing techniques are based on Euclidean geometry which is not an optimal choice for modeling complex cell trajectories with multiple branches. To overcome this fundamental representation …
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vilbert-multi-task
Multi Task Vision and Language
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detr
End-to-End Object Detection with Transformers