lidar transferCode for Langer et al. "Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks", IROS, 2020.
SHOT-pluscode for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"
domain adaptDomain adaptation networks for digit recognitioning
weak-supervision-for-NERFramework to learn Named Entity Recognition models without labelled data using weak supervision.
fusion ganCodes for the paper 'Learning to Fuse Music Genres with Generative Adversarial Dual Learning' ICDM 17
KD3AHere is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".
LoveDA[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
CADAAttending to Discriminative Certainty for Domain Adaptation
pytorch-ardaA PyTorch implementation for Adversarial Representation Learning for Domain Adaptation
cmdCentral Moment Discrepancy for Domain-Invariant Representation Learning (ICLR 2017, keras)
chainer-ADDAAdversarial Discriminative Domain Adaptation in Chainer
bert-AADAdversarial Adaptation with Distillation for BERT Unsupervised Domain Adaptation
DRCNPytorch implementation of Deep Reconstruction Classification Networks
game-feature-learningCode for paper "Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery", Ren et al., CVPR'18
BIFI[ICML 2021] Break-It-Fix-It: Unsupervised Learning for Program Repair
ganslateSimple and extensible GAN image-to-image translation framework. Supports natural and medical images.
pytorch-dannA PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation
VisDA2020VisDA2020: 4th Visual Domain Adaptation Challenge in ECCV'20
DA-RetinaNetOfficial Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'
DualStudentCode for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]
ACANCode for NAACL 2019 paper: Adversarial Category Alignment Network for Cross-domain Sentiment Classification
FixBiFixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation (CVPR 2021)
CAC-UNet-DigestPath20191st to MICCAI DigestPath2019 challenge (https://digestpath2019.grand-challenge.org/Home/) on colonoscopy tissue segmentation and classification task. (MICCAI 2019) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm
meta-learning-progressRepository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.
CrossNERCrossNER: Evaluating Cross-Domain Named Entity Recognition (AAAI-2021)
Transferable-E2E-ABSATransferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning (EMNLP'19)
DCAN[AAAI 2020] Code release for "Domain Conditioned Adaptation Network" https://arxiv.org/abs/2005.06717
AdaptationSegCurriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017
BA3UScode for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"
DASCode and datasets for EMNLP2018 paper ‘‘Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification’’.
SFAOfficial Implementation of "Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers"
IAST-ECCV2020IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm
visda2019-multisourceSource code of our submission (Rank 1) for Multi-Source Domain Adaptation task in VisDA-2019
Deep-Unsupervised-Domain-AdaptationPytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.
DAOSLImplementation of Domain Adaption in One-Shot Learning
gplPowerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval" https://arxiv.org/abs/2112.07577
pykaleKnowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem
G-SFDAcode for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'
pytorch-revgradA minimal pytorch package implementing a gradient reversal layer.
SSTDA[CVPR 2020] Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation (PyTorch)
MGANExploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification (AAAI'19)
TA3N[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)