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mmf
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
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hydra
Hydra is a framework for elegantly configuring complex applications
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SlowFast
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
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ClassyVision
An end-to-end PyTorch framework for image and video classification
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ReAgent
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
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ActivityNet-Entities
A Dataset for Grounded Video Description
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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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libri-light
dataset for lightly supervised training using the librivox audio book recordings. https://librivox.org/.
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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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detectron2
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
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hiplot
HiPlot makes understanding high dimensional data easy
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digit-design
Design files for the DIGIT tactile sensor
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pytext
A natural language modeling framework based on PyTorch
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code-prediction-transformer
This repo will contain replication package for the paper "Feeding Trees to Transformers for Code Completion"
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fastMRI
A large-scale dataset of both raw MRI measurements and clinical MRI images
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detr
End-to-End Object Detection with Transformers
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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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nevergrad
A Python toolbox for performing gradient-free optimization
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PyTorch-BigGraph
Generate embeddings from large-scale graph-structured data.
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whitebox_blackbox
Public implementation of ICML'19 paper "White-box vs Black-box: Bayes Optimal Strategies for Membership Inference"
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dlrm
An implementation of a deep learning recommendation model (DLRM)
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pytorch-dp
Training PyTorch models with differential privacy
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flashlight
A C++ standalone library for machine learning
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fastText
Library for fast text representation and classification.
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SparseConvNet
Submanifold sparse convolutional networks
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CrypTen
A framework for Privacy Preserving Machine Learning
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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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pycls
Codebase for Image Classification Research, written in PyTorch.
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nle
The NetHack Learning Environment