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awesome-disentangled-representations

A curated list of papers on disentangled representation learning inspired by https://github.com/sootlasten/disentangled-representation-papers and https://github.com/matthewvowels1/Awesome-VAEs.

bridging_uda_ssl

The official codes of "Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners".

btda

implement for paper Rethinking Domain Adaptation Blending target Domain Adaptation by Adversarial Meta Adaptation Network

cdtrans

[ICLR2022] CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation

cl-visualizing-feature-transformation

Improving Contrastive Learning by Visualizing Feature Transformation, ICCV 2021 Oral

comatch

Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization

contentdisentanglement

PyTorch implementation of "Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer"

contrastive-adaptation-network-for-unsupervised-domain-adaptation

pytorch implementation for Contrastive Adaptation Network

crest

Repo for CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning

csg

cumix

Official code for "Towards Recognizing Unseen Categories in Unseen Domains"

curriculum-labeling

[AAAI 21] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning

cv_termproject3_selfmatch

dal

Domain agnostic learning with disentangled representations

dassl.pytorch

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

ddg

deep-person-reid

Torchreid: Deep learning person re-identification in PyTorch.

deep-transfer-learning

A collection of implementations of deep domain adaptation algorithms

deep-unsupervised-domain-adaptation

Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.

dg-feature-stylization

Official pytorch implementation of "Feature Stylization and Domain-aware Contrastive Loss for Domain Generalization" ACMMM 2021 (Oral)

disco

[ICLR2022] Code for "Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View"

disentanglement_lib

disentanglement_lib is an open-source library for research on learning disentangled representations.

disentanglementmetrics

This repository contains the full code for our paper "Theory and evaluation metrics for learning disentangled representations"

distilling_the_knowledge_in_a_neural_network_pytorch

diva

Implementation of 'DIVA: Domain Invariant Variational Autoencoders'

domain-generalization

All about domain generalization

domainbed

DomainBed is a suite to test domain generalization algorithms

doprompt

Official implementation of PCS in essay "Prompt Vision Transformer for Domain Generalization"

dranet

drit

Learning diverse image-to-image translation from unpaired data