Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
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Updated
Apr 25, 2024 - Python
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 domian adaptation
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
POT : Python Optimal Transport
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
A collection of implementations of deep domain adaptation algorithms
pytorch implementation of Domain-Adversarial Training of Neural Networks
Domain-Adversarial Neural Network in Tensorflow
Awesome Multitask Learning Resources
Collection of awesome test-time (domain/batch/instance) adaptation methods
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.
A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.
python 3 pytorch implementation of DANN
A PyTorch implementation for Adversarial Discriminative Domain Adaptation
[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.
Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!
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