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

A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation

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)

Implementation of many transfer learning algorithms in Python with Jupyter notebooks

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

Domain adaptation networks for digit recognitioning

Unofficial pytorch implementation of algorithms for domain adaptation

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

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

Attending to Discriminative Certainty for Domain Adaptation

Pytorch implementation of Deep Reconstruction Classification Networks

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

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

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

A PyTorch implementation for Adversarial Discriminative Domain Adaptation

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'

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

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

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

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

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

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

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

Adversarial Adaptation with Distillation for BERT Unsupervised Domain Adaptation

[CVPR2021] Domain Consensus Clustering for Universal Domain Adaptation

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

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

A collection of implementations of deep domain adaptation algorithms

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

AutoDIAL Caffe Implementation

NLU: domain-intent-slot; text2SQL

pytorch implementation of Domain-Adversarial Training of Neural Networks

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

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

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

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

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

VR-Caps: A Virtual Environment for Active Capsule Endoscopy

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

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

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

Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling

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

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

Adapt Transformer-based language models to new text domains

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

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

Awesome Multitask Learning Resources

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

A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation

resource collection for transfer learning!

Awesome Domain Adaptation Python Toolbox

Domain Adaptation

Transfer-Learning-Library

Domain-Adversarial Neural Network in Tensorflow

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

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

Adversarial Discriminative Domain Adaptation in Chainer