Implementation of CVPR 2022 paper "Learning Distinctive Margin toward Active Domain Adaptation”

A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.

Semi-supervised Domain Adaptation via Minimax Entropy

分享的所有数据集均为开源的PHM（Prognostics and Health Management）数据，涵盖故障诊断、健康评估和寿命预测等领域。

A PyTorch toolbox for domain adaptation, domain generalization, federated learning DA/DG, active learning DA/DG, ALDG and semi-supervised learning DA/DG.

Active Learning Based Domain Adaptation for Tissue Segmentation of Histopathological Images published on EUSIPCO 2023

Active Learning based advarsarial Domain Adaptation -- based on LeNet. Original repo: https://github.com/erictzeng/adda.git

Official code for the paper 'Active learning for few shot semi-supervised Domain adaptation'.

[AAAI 2022] Official Implementation of Active Learning for Domain Adaptation: An Energy-based Approach https://arxiv.org/abs/2112.01406

Active Adversarial Domain Adaptation

A PyTorch implementation for Adversarial Discriminative Domain Adaptation

Pytorch official implementation for our CVPR-2023 highlight paper "Divide and Adapt: Active Domain Adaptation via Customized Learning".

PyTorch code for Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings (ICCV 2021)

Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:

Code Release for "Transferable Query Selection for Active Domain Adaptation"(CVPR2021)

[ICDM 2020] Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning

A collection of implementations of deep domain adaptation algorithms

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

Propose a new active learning method by querying both the representative and informative samples for annotation

Multi-Anchor Active Domain Adaptation for Semantic Segmentation (ICCV 2021 Oral)

Source codes for the paper "Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study" published in TIM

This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbox).

Everything you need about Active Learning (AL).

ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.

PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book

Correlation Alignment for Domain Adaptation

The source code for NeurIPS 2020 paper "Graph Policy Network for Transferable Active Learning on Graphs"