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Name: Meta Research

Type: Organization

Location: Menlo Park, California

Blog: https://opensource.fb.com

Meta Research's Projects

iopath

A python library that provides common I/O interface across different storage backends.

irmae

PyTorch implementation of IRMAE https//arxiv.org/abs/2010.00679

Leaderboards are widely used in NLP and push the field forward. While leaderboards are a straightforward ranking of NLP models, this simplicity can mask nuances in evaluation items (examples) and subjects (NLP models). Rather than replace leaderboards, we advocate a re-imagining so that they better highlight if and where progress is made. Building on educational testing, we create a Bayesian leaderboard where latent subject skill and latent item difficulty predict correct responses. Using this model, we analyze the reliability of leaderboards. Afterwards, we show the model can guide what annotate, identify annotation errors, detect overfitting, and identify informative examples.

isc2021

Code for the Image similarity challenge.

isdf

Real-time Neural Signed Distance Fields for Robot Perception

jacobian_regularizer

A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.

jps

Code for "Joint Policy Search for Collaborative Multi-agent Incomplete Information Games"

kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

kbc

Tools for state of the art Knowledge Base Completion.

ketod

KETOD Knowledge-Enriched Task-Oriented Dialogue

keypointnerf

KeypointNeRF Generalizing Image-based Volumetric Avatars using Relative Spatial Encoding of Keypoints

kill-the-bits

Code for: "And the bit goes down: Revisiting the quantization of neural networks"

kilt

Library for Knowledge Intensive Language Tasks

la-mcts

High dimensional black-box optimizer using Latent Action Monte Carlo Tree Search algorithm

label_dp_antipodes

Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"

labgraph

LabGraph is a Python framework for rapidly prototyping experimental systems for real-time streaming applications. It is particularly well-suited to real-time neuroscience, physiology and psychology experiments.

lama

LAnguage Model Analysis

lamcts

The release codes of LA-MCTS with its application to Neural Architecture Search.

large-scale-vrd

Visual Relationship Detection

laser

Language-Agnostic SEntence Representations

latent-space-priors

Source code release for "Leveraging Demonstrations with Latent Space Priors"

latent-treelstm

Cooperative Learning of Disjoint Syntax and Semantics

lawt

Code for papers Linear Algebra with Transformers (TMLR) and What is my Math Transformer Doing? (AI for Maths Workshop, Neurips 2022)

learning-audio-visual-dereverberation

Code for paper Learning Audio-Visual Dereverberation

learningtolearn

Collection of algorithms to learn loss and reward functions via gradient-based bi-level optimization.

level-replay

This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the fact that not all levels are equally useful for agents to learn from during training.

levit

LeViT a Vision Transformer in ConvNet's Clothing for Faster Inference

libri-light

dataset for lightly supervised training using the librivox audio book recordings. https://librivox.org/.

libsysml

A collection of utilities for the intersection of machine learning and systems research.

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