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.
334 stars
15 watching
42 forks
Language: HTML
last commit: almost 4 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 | 898 |
 wasidennis/adaptsegnet | This project implements a deep learning-based approach to adapt semantic segmentation models from one domain to another. | 851 |
 chrisallenming/ltc-msda | An implementation of a knowledge aggregation method for adapting to multiple domains using a graph-based framework. | 69 |
 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 | 93 |
 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. | 236 |
 kaiyangzhou/dassl.pytorch | A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,236 |
 tsingz0/dbe | An implementation of a federated learning method to reduce domain bias in representation space, enabling improved 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. | 1,271 |
 zhanghang1989/pytorch-encoding | A Python framework for building deep learning models with optimized encoding layers and batch normalization. | 2,044 |
 deepset-ai/farm | An open-source framework for adapting representation models to various tasks and industries | 1,743 |
 nrel/dynamo | A toolkit for using dynamic programming in optimization tasks with adaptive modeling. | 47 |
 media-smart/vedaseg | A PyTorch-based toolbox for building and training semantic segmentation models | 408 |