Repositories
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droidlet
A modular embodied agent architecture and platform for building embodied agents
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pytext
A natural language modeling framework based on PyTorch
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ReAgent
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
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flashlight
A C++ standalone library for machine learning
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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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habitat-sim
A flexible, high-performance 3D simulator for Embodied AI research.
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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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fairscale
PyTorch extensions for high performance and large scale training.
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fbai-speech
Repo for the FB AI Speech team.
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hydra
Hydra is a framework for elegantly configuring complex applications
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CompilerGym
A reinforcement learning toolkit for compiler optimizations
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mmf
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
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CrypTen
A framework for Privacy Preserving Machine Learning
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hiplot
HiPlot makes understanding high dimensional data easy
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voxpopuli
A large-scale multilingual speech corpus for representation learning, semi-supervised learning and interpretation
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faiss
A library for efficient similarity search and clustering of dense vectors.
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denoiser
Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder ar…
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pycls
Codebase for Image Classification Research, written in PyTorch.
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nevergrad
A Python toolbox for performing gradient-free optimization
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d2go
D2Go is a toolkit for efficient deep learning
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connect-caption-and-trace
A unified framework to jointly model images, text, and human attention traces.
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detectron2
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
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gtn_applications
Applications using the GTN library and code to reproduce experiments in "Differentiable Weighted Finite-State Transducers"
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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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habitat-lab
A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.
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TextVQA
Website for TextVQA dataset.
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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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DepthContrast
DepthContrast self-supervised learning for 3D
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convit
Code for the Convolutional Vision Transformer (ConViT)