117 Open source projects that are alternatives of or similar to Deep Transfer Learning

Repository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.

Official Implementation of "Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers"

Adversarial Discriminative Domain Adaptation in Chainer

Unofficial pytorch implementation of algorithms for domain adaptation

Implementation of Domain Adaption in One-Shot Learning

Attending to Discriminative Certainty for Domain Adaptation

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017

Domain adaptation networks for digit recognitioning

Source code of our submission (Rank 1) for Multi-Source Domain Adaptation task in VisDA-2019

Implementation of many transfer learning algorithms in Python with Jupyter notebooks

Official 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'

code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'

Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".

FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation (CVPR 2021)

Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark

Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning (EMNLP'19)

Central Moment Discrepancy for Domain-Invariant Representation Learning (ICLR 2017, keras)

code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"

Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.

Multichannel Semantic Segmentation with Unsupervised Domain Adaptation

Pytorch implementation of Deep Reconstruction Classification Networks

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

Codes for the paper 'Learning to Fuse Music Genres with Generative Adversarial Dual Learning' ICDM 17

Powerful 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

Simple and extensible GAN image-to-image translation framework. Supports natural and medical images.

VisDA2020: 4th Visual Domain Adaptation Challenge in ECCV'20

Python toolbox for transfer learning.

Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling

Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]

code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"

Code for NAACL 2019 paper: Adversarial Category Alignment Network for Cross-domain Sentiment Classification

[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

1st 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

A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.

CrossNER: Evaluating Cross-Domain Named Entity Recognition (AAAI-2021)

A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation

[AAAI 2020] Code release for "Domain Conditioned Adaptation Network" https://arxiv.org/abs/2005.06717

AutoDIAL Caffe Implementation

Adapt Transformer-based language models to new text domains

Domain Adaptation

Code and datasets for EMNLP2018 paper ‘‘Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification’’.

Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [Inoue+, CVPR2018].

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

Adversarial Adaptation with Distillation for BERT Unsupervised Domain Adaptation

resource collection for transfer learning!

Framework to learn Named Entity Recognition models without labelled data using weak supervision.

[CVPR2021] Domain Consensus Clustering for Universal Domain Adaptation

Code for paper "Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery", Ren et al., CVPR'18

stylegan-nada.github.io/

Awesome Domain Adaptation Python Toolbox

Code for implementation of Unlearning Scanner Bias for MRI Harmonisation

[ICML 2021] Break-It-Fix-It: Unsupervised Learning for Program Repair

Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem

VR-Caps: A Virtual Environment for Active Capsule Endoscopy

NLU: domain-intent-slot; text2SQL

A PyTorch implementation for Adversarial Discriminative Domain Adaptation

Code for "Real-time self-adaptive deep stereo" - CVPR 2019 (ORAL)

Code for Langer et al. "Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks", IROS, 2020.

traditional domain adaptation methods (e.g., GFK, TCA, SA)

A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation