salad

Domain adaptation toolkit

A toolbox for comparing and running domain adaptation algorithms on different datasets.

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

GitHub

333 stars
15 watching
42 forks
Language: HTML
last commit: over 3 years ago
deep-learningdomain-adaptationmachine-learningpytorch

Related projects:

Repository Description Stars
easezyc/deep-transfer-learning A collection of implementations of algorithms to adapt deep learning models from one domain to another 892
wasidennis/adaptsegnet This project implements a deep learning-based approach to adapt semantic segmentation models from one domain to another. 849
chrisallenming/ltc-msda An implementation of a knowledge aggregation method for adapting to multiple domains using a graph-based framework. 68
bupt-ai-cz/meta-selflearning Develops a method to improve performance of computer vision tasks by adapting models to new domains and data sources through meta-learning and self-learning techniques. 199
wenkehuang/rethinkfl Improves federated learning performance by incorporating domain knowledge and regularization to adapt models across diverse domains 91
naoto0804/cross-domain-detection Develops object detection algorithms to adapt to new domains with limited supervision 422
lhoyer/hrda A framework for unsupervised domain adaptation in semantic segmentation using multi-resolution training and learned scale attention. 235
kaiyangzhou/dassl.pytorch A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. 1,217
tsingz0/dbe This implementation of a federated learning method aims to reduce domain bias in representation space, enabling more efficient knowledge transfer between clients and servers. 22
mediabrain-sjtu/feddg-ga This project presents a method for federated domain generalization with adjustment, allowing multiple models to learn from each other across different domains. 43
albermax/innvestigate A toolbox to help understand neural networks' predictions by providing different analysis methods and a common interface. 1,265
zhanghang1989/pytorch-encoding A Python framework for building deep learning models with optimized encoding layers and batch normalization. 2,041
deepset-ai/farm An open-source framework for adapting representation models to various tasks and industries 1,741
nrel/dynamo A toolkit for using dynamic programming in optimization tasks with adaptive modeling. 46
media-smart/vedaseg A PyTorch-based toolbox for building and training semantic segmentation models 410