facebookresearch,Meta Research,github

mixup-cifar10

mixup: Beyond Empirical Risk Minimization

mldoc

A Corpus for Multilingual Document Classification in Eight Languages.

We release a dataset based on Wikipedia sentences and the corresponding translations in 6 different languages along with the scores (scale 1 to 100) generated though human evaluations that represent the quality of the translations.Paper Title Unsupervised Quality Estimation for Neural Machine Translation

mm-retrieval-evaluation

mmbt

Supervised Multimodal Bitransformers for Classifying Images and Text

mmcsg

This repository contains the baseline system for CHiME-8 MMCSG challenge focusing on transcribing both sides of a conversation where one participant is wearing smart glasses equipped with a microphone array and camera.

mmd

ML models often mispredict, and it is hard to tell when and why. We present a data mining based approach to discover whether there is a certain form of data that particular causes the model to mispredict.

mmf

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

mobile-vision

Mobile vision models and code

moca

Motion-conditional image animation for video editing

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

moco-v3

PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057

model_opt

Memory Optimizations for Deep Learning (ICML 2023)

modeling_long_term_future

Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future

modelratatouille

Recycling diverse models

modem

MoDem Accelerating Visual Model-Based Reinforcement Learning with Demonstrations

modemv2

MoDem-V2 combines the sample efficiency of the original MoDem with conservative exploration in order to quickly and safely learn manipulation skills on real robots.

moe

Misspelling Oblivious Word Embeddings

momi

Model Mistakes - Generate, Filter, & Rank: Grammaticality Classification for Production-Ready NLG Systems

moolib

A library for distributed ML training with PyTorch

morbo

Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces

motif

Intrinsic Motivation from Artificial Intelligence Feedback

motion-search

perform motion search and compute motion vectors and residual information in order to extract features for predicting video compressibility

motionformer

Code + pre-trained models for the paper Keeping Your Eye on the Ball Trajectory Attention in Video Transformers

mpcfp

This is code associated with the paper, "Secure multiparty computations in floating-point arithmetic," published in the Institute of Mathematics and its Applications' "Information and Inference: a Journal of the IMA."

msn

Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)

mt-eqa

Multi-Target Embodied Question Answering

mtenv

MultiTask Environments for Reinforcement Learning.

mtm

MTM Masked Trajectory Models for Prediction, Representation, and Control.

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