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arm

awesome-ebm

Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)

dassl.pytorch

A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.

domainbed

DomainBed is a suite to test domain generalization algorithms

easyrobust

EasyRobust: an Easy-to-use library for state-of-the-art Robust Computer Vision Research with PyTorch.

energy-based-scene-graph

Code release for Energy-Based Learning for Scene Graph Genertaion

energy_ood

fastertransformer

Transformer related optimization, including BERT, GPT

fda

Fourier Domain Adaptation for Semantic Segmentation

google-research

Google Research

intro_dgm

An Introduction to Deep Generative Modeling: Examples

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

matrix-capsules-em-tensorflow

A Tensorflow implementation of CapsNet based on paper Matrix Capsules with EM Routing

meta-dataset

A dataset of datasets for learning to learn from few examples

ofa

Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

pixpro

Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning, CVPR 2021

repdistiller

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

solo-learn

solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

torchdistill

A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆20 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

vissl

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.