PyTorch extensions for high performance and large scale training.
An algorithm that generalizes the paradigm of self-play reinforcement learning and search to imperfect-information games.
Public release of the TransCoder research project https://arxiv.org/pdf/2006.03511.pdf
The code reproduces the results of the experiments in the paper. In particular, it performs experiments in which machine-learning models are trained that are guaranteed to not leak information about the training data they are trained on.
A collection of algorithms that can do join between two parties while preserving the privacy of keys on which the join happens
visualization code for 3D human body annotation by EFT (Exemplar Fine-tuning)
This paper contains code for our work "An Exploration of Embodied Visual Exploration".
ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes
This repository contains source code for the TaBERT model, a pre-trained language model for learning joint representations of natural language utterances and (semi-)structured tables for semantic parsing. TaBERT is pre-trained on a massive corpus of 26M Web tables and their associated natural language context, and could be used as a drop-in replacement of a semantic parsers original encoder to compute representations for utterances and table schemas (columns).
We estimate dense, flicker-free, geometrically consistent depth from monocular video, for example hand-held cell phone video.
Library for converting clinical trial eligibility criteria to a machine-readable format.
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
