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Meta Research's Projects

detic icon detic

Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".

detr icon detr

End-to-End Object Detection with Transformers

dialogstitch icon dialogstitch

DialogStitch Synthetic Deeper and Multi-Context Task-Oriented Dialogs

dietgpu icon dietgpu

GPU implementation of a fast generalized ANS (asymmetric numeral system) entropy encoder and decoder, with extensions for lossless compression of numerical and other data types in HPC/ML applications.

differentiable-robot-model icon 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.

diffkt icon diffkt

A framework for automatic differentiation in Kotlin

diffq icon diffq

DiffQ performs differentiable quantization using pseudo quantization noise. It can automatically tune the number of bits used per weight or group of weights, in order to achieve a given trade-off between model size and accuracy.

dig-in icon dig-in

This library supports evaluating disparities in generated image quality, diversity, and consistency between geographic regions.

diht icon diht

Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training

dino icon dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

dinov2 icon dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

diplomacy_cicero icon diplomacy_cicero

Code for Cicero, an AI agent that plays the game of Diplomacy with open-domain natural language negotiation.

diplomacy_searchbot icon diplomacy_searchbot

Code to accompany "Human-Level Performance in No-Press Diplomacy via Equilibrium Search", published at ICLR 2021

directclr icon directclr

Code used in "Understanding Dimensional Collapse in Contrastive Self-supervised Learning" paper.

disco icon disco

DisCo Transformer for Non-autoregressive MT

disentangling-correlated-factors icon disentangling-correlated-factors

A benchmarking suite for disentanglement algorithms, suited for evaluating robustness to correlated factors. Codebase for the paper "Disentanglement of Correlated Factors via Hausdorff Factorized Support" by Karsten Roth, Mark Ibrahim, Zeynep Akata, Pascal Vincent, Diane Bouchacourt.

distdepth icon distdepth

Repository for "Toward Practical Monocular Indoor Depth Estimation" (CVPR 2022)

dit icon dit

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

dlrm icon dlrm

An implementation of a deep learning recommendation model (DLRM)

dlrm-flexflow icon dlrm-flexflow

Development repository for integrating FlexFlow (A distributed deep learning framework that supports flexible parallelization strategies) with DLRM (Deep Learning Recommendation Model)

dlrm_datasets icon dlrm_datasets

Set of datasets for the deep learning recommendation model (DLRM).

dmc-net icon dmc-net

Internship project on compressed video

dme icon dme

Dynamic Meta-Embeddings for Improved Sentence Representations

doc-storygen-v2 icon doc-storygen-v2

Codebase for LLM story generation; updated version of https//github.com/yangkevin2/doc-story-generation

dollarstreet_factors icon dollarstreet_factors

Pinpointing Why Object Recognition Performance Degrades Across Income Levels and Geographies

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