117 Open source projects that are alternatives of or similar to Opencompounddomainadaptation Ocda

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

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

Transfer-Learning-Library

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

Pytorch implementation of Deep Reconstruction Classification Networks

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

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

Multinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)

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

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

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

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

Code of Gradually Vanishing Bridge for Adversarial Domain Adaptation (CVPR2020)

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

Implementation of "Harmonizing Transferability and Discriminability for Adapting Object Detectors" (CVPR 2020)

Domain adaptation networks for digit recognitioning

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

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

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

Attending to Discriminative Certainty for Domain Adaptation

Domain-Adversarial Neural Network in Tensorflow

Adversarial Discriminative Domain Adaptation in Chainer

Deep Transfer Learning Papers

Implementation of many transfer learning algorithms in Python with Jupyter notebooks

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

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

NLU: domain-intent-slot; text2SQL

Meta learning with BERT as a learner

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

ImageNet-R(endition) and DeepAugment

Awesome Domain Adaptation Python Toolbox

self-supervised domain adaptation

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

A PyTorch Detectron codebase for domain adaptation of object detectors.

AutoDIAL Caffe Implementation

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

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

Hierarchical Attention Transfer Network for Cross-domain Sentiment Classification (AAAI'18)

VR-Caps: A Virtual Environment for Active Capsule Endoscopy

POT : Python Optimal Transport

Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling

ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation (CVPR20)

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

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

A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation

Library of transfer learners and domain-adaptive classifiers.

Domain Adaptation

pytorch implementation of Domain-Adversarial Training of Neural Networks

Adversarial Adaptation with Distillation for BERT Unsupervised Domain Adaptation

Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation

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

Awesome Multitask Learning Resources

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

Cross-domain NER using cross-domain language modeling, code for ACL 2019 paper

A collection of implementations of deep domain adaptation algorithms

[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance

Implementation of "SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses"

A PyTorch implementation for Adversarial Discriminative Domain Adaptation