117 Open source projects that are alternatives of or similar to robustness

Adapt Transformer-based language models to new text domains

[CVPR2021] Domain Consensus Clustering for Universal Domain Adaptation

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

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

Python toolbox for transfer learning.

Adversarial Adaptation with Distillation for BERT Unsupervised Domain Adaptation

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

Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling

Code for implementation of Unlearning Scanner Bias for MRI Harmonisation

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

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

[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)

Domain Adaptation

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

VR-Caps: A Virtual Environment for Active Capsule Endoscopy

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

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

resource collection for transfer learning!

AutoDIAL Caffe Implementation

stylegan-nada.github.io/

NLU: domain-intent-slot; text2SQL

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

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

[CVPR 2020] Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation (PyTorch)

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

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

( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

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

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.

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)

Adversarial Discriminative Domain Adaptation in Chainer

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

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

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

Pytorch implementation of Deep Reconstruction Classification Networks

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

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

Multichannel Semantic Segmentation with Unsupervised Domain Adaptation

Implementation of many transfer learning algorithms in Python with Jupyter notebooks

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

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

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

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

Implementation of Domain Adaption in One-Shot Learning

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

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

A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation

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

Domain adaptation networks for digit recognitioning

A minimal pytorch package implementing a gradient reversal layer.

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'

Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification (AAAI'19)

Attending to Discriminative Certainty for Domain Adaptation

Unofficial pytorch implementation of algorithms for domain adaptation

Awesome Domain Adaptation Python Toolbox

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

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

A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation

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