Pinned Repositories
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
learning_research
大佬的科研经验膜拜中
junchengberry's Repositories
junchengberry/PyTorch-BYOL
PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
junchengberry/triplet-loss-pytorch
A generic triplet data loader for image classification problems,and a triplet loss net demo.
junchengberry/DRIT
Learning diverse image-to-image translation from unpaired data
junchengberry/Versatile-Domain-Adaptation
Code Release for "Minimum Class Confusion for Versatile Domain Adaptation"(ECCV2020)
junchengberry/knowlege-distillation
PyTorch, PyTorch Lightning framework for trying knowledge distillation in image classification problems
junchengberry/SCGAN
Code for reproducing experiments in "SCGAN: Disentangled Representation Learning by Adding Similarity Constraint on Generative Adversarial Nets"
junchengberry/scratch_mlp
Explaining the Math of how neural networks learn
junchengberry/DAL
Domain agnostic learning with disentangled representations
junchengberry/MMD_AAE
Code refactoring for paper "Domain Generalization with Adversarial Feature Learning" in VLCS datasets.
junchengberry/ContentDisentanglement
PyTorch implementation of "Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer"
junchengberry/DIVA
Implementation of 'DIVA: Domain Invariant Variational Autoencoders'
junchengberry/Feature_Critic
Feature-Critic Networks for Heterogeneous Domain Generalisation
junchengberry/DSN
Pytorch implementation of Domain Separation Networks
junchengberry/BTDA
implement for paper Rethinking Domain Adaptation Blending target Domain Adaptation by Adversarial Meta Adaptation Network
junchengberry/UFDN
A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation
junchengberry/t-SNE-tutorial
A tutorial on the t-SNE learning algorithm