Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".

主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题

每个人都能看懂的大模型知识分享，LLMs春/秋招大模型面试前必看，让你和面试官侃侃而谈

Code of TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation, WACV 2023

A collection of AWESOME things about domain adaptation

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

Attention-based Deep MIL implementation and application

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

[AAAI 2024] Prompt-based Distribution Alignment for Unsupervised Domain Adaptation

A repository and benchmark for online test-time adaptation.

Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'

SF(DA)²: Source-free Domain Adaptation Through the Lens of Data Augmentation (ICLR 2024)

Collection of awesome test-time (domain/batch/instance) adaptation methods

code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"

Code (pytorch) for 'Model Adaptation through Hypothesis Transfer with Gradual Knowledge Distillation' that has been accepted by IROS2021.

A unified source-free domain adaptation framework.

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

python 3 pytorch implementation of DANN

pytorch implementation of Domain-Adversarial Training of Neural Networks

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

Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)

Implementation of the paper: "Discriminator-free unsupervised domain adaptation for Multi-label image classification"

Unsupervised Domain Adaptation for Computer Vision Tasks

Optimized DomainBed for Histology Datasets

[NeurIPS 2025] Revisiting End-to-End Learning with Slide-level Supervision in Computational Pathology

Python library for processing whole slide images (WSIs) in sdpc format

⚡ Clash for Lab 是为实验室环境设计的科学上网工具，无需sudo权限，优雅地一键式脚本安装

Unofficial Instructions for downloading TCIA-CPTAC Pathology Images Lung Cohorts: LUAD, LSCC (aka LUSC)

[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"