117 Open source projects that are alternatives of or similar to Self Supervised Da

Implementation of many transfer learning algorithms in Python with Jupyter notebooks

Unofficial pytorch implementation of algorithms for domain adaptation

Domain adaptation networks for digit recognitioning

Adversarial Discriminative Domain Adaptation in Chainer

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

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

A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation

[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.

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.

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

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

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

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

Pytorch implementation of Deep Reconstruction Classification Networks

EANet: Enhancing Alignment for Cross-Domain Person Re-identification

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

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

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'

Transfer-Learning-Library

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

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

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

A PyTorch implementation for Adversarial Discriminative Domain Adaptation

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

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

A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation

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

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

Domain Adaptation

pytorch implementation of Domain-Adversarial Training of Neural Networks

Adversarial Adaptation with Distillation for BERT Unsupervised Domain Adaptation

Awesome Domain Adaptation Python Toolbox

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

POT : Python Optimal Transport

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

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

NLU: domain-intent-slot; text2SQL

Awesome Multitask Learning Resources

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

AutoDIAL Caffe Implementation

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

Repository for the article "Unsupervised domain adaptation for medical imaging segmentation with self-ensembling".

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

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

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 collection of implementations of deep domain adaptation algorithms

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

VR-Caps: A Virtual Environment for Active Capsule Endoscopy

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

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

Adapt Transformer-based language models to new text domains

Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling

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].

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

Repository of the paper "Generalizing Person Re-Identification by Camera-Aware Instance Learning and Cross-Domain Mixup"

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Domain-Adversarial Neural Network in Tensorflow

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

Attending to Discriminative Certainty for Domain Adaptation