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

A collection of AWESOME things about domain adaptation

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

POT : Python Optimal Transport

《迁移学习简明手册》LaTex源码

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

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

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

( TPAMI2022 / CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

A collection of implementations of deep domain adaptation algorithms

pytorch implementation of Domain-Adversarial Training of Neural Networks

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

A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.

Awesome Multitask Learning Resources

Exclusively Dark (ExDARK) dataset which to the best of our knowledge, is the largest collection of low-light images taken in very low-light environments to twilight (i.e 10 different conditions) to-date with image class and object level annotations.

Domain-Adversarial Neural Network in Tensorflow

Synthadoc: An open-source LLM knowledge compilation engine that turns raw documents into structured, local-first wikis. A transparent, human-readable alternative to traditional RAG, which can be self-managed and self-improved without the use of any tools.

Fault Diagnosis Employing Transfer Learning Techniques: Domain Adaptation and Domain Generalization

python 3 pytorch implementation of DANN