facebookresearch
An End-To-End, Lightweight and Flexible Platform for Game Research
A framework for training and evaluating AI models on a variety of openly available dialog datasets.
A python tool for evaluating the quality of sentence embeddings.
Sentence embeddings (InferSent) and training code for NLI.
Robocodes: Towards Generative Street Addresses from Satellite Imagery
Hierarchical Visibility for Virtual Reality which implements a hybrid CPU/GPU ray-caster, suited for real time rendering of effects such as lens distortion.
A library for efficient similarity search and clustering of dense vectors.
Deal or No Deal? End-to-End Learning for Negotiation Dialogues
Submanifold sparse convolutional networks
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
Facebook AI Research Sequence-to-Sequence Toolkit
Library for fast text representation and classification.
A platform for developing AI systems as described in A Roadmap towards Machine Intelligence - http://arxiv.org/abs/1511.08130
Inferring and Executing Programs for Visual Reasoning
Torch implementation of DeepMask and SharpMask
Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features
Approximate Nearest Neighbor Search for Sparse Data in Python!
This library provides utilities for creating and manipulating RNNs to model sequential data.
Implements a message passing interface (MPI) wrapper that makes it easy to do massively parallel computations inside the Torch deep-learning framework.
Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks
TargetProp for RNNs
Mixed Incremental Cross-Entropy REINFORCE ICLR 2016
DarkForest, the Facebook Go engine.
Implements an efficient softmax approximation as described in the paper "Efficient softmax approximation for GPUs" (http://arxiv.org/abs/1609.04309)
Neural network model, suitable for multi-agent learning. https://arxiv.org/abs/1605.07736
A Torch implementation of the object detection network from "A MultiPath Network for Object Detection" (https://arxiv.org/abs/1604.02135)
