
deep-transfer-learning
by easezyc (personal account)
A collection of implementations of deep domain adaptation algorithms (description from the project’s GitHub page)
Repository facts
- Stars
- 962
- Forks
- 210
- Open issues and pull requests
- 7
- Primary language
- Python
- License
- MIT License (MIT)
- Owner
- easezyc · Personal account
- Created
- Jul 6, 2018
- Last push
- Mar 3, 2022
Topics
Related projects
Projects that share this one’s GitHub topics.
Rank 2,010: thuml/Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
3,941 starsPythonMITLast push May 10, 2024
Rank 4,734: KaiyangZhou/Dassl.pytorch
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
1,431 starsPythonMITLast push Nov 3, 2023
Rank 6,311: fungtion/DANN
pytorch implementation of Domain-Adversarial Training of Neural Networks
950 starsPythonMITLast push Jul 26, 2019
Rank 6,763: wasidennis/AdaptSegNet
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
857 starsPythonNo license file detectedLast push Aug 14, 2020
Rank 753: autogluon/autogluon
Fast and Accurate ML in 3 Lines of Code
10,785 starsPythonApache-2.0Last push Oct 17, 2026
Rank 2,184: ZhaoJ9014/face.evoLVe
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
3,596 starsPythonMITLast push Mar 20, 2025