| jindongwang/transferlearning |
12,494 |
|
0 |
0 |
about 2 years ago |
0 |
|
14 |
mit |
Python |
| Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习 |
| zhaoxin94/awesome-domain-adaptation |
4,771 |
|
0 |
0 |
about 2 years ago |
0 |
|
3 |
mit |
|
| A collection of AWESOME things about domian adaptation |
| thuml/Transfer-Learning-Library |
2,883 |
|
0 |
0 |
over 2 years ago |
2 |
July 24, 2020 |
28 |
mit |
Python |
| Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization |
| jindongwang/transferlearning-tutorial |
2,344 |
|
0 |
0 |
almost 3 years ago |
0 |
|
8 |
|
TeX |
| 《迁移学习简明手册》LaTex源码 |
| artix41/awesome-transfer-learning |
1,539 |
|
0 |
0 |
over 3 years ago |
0 |
|
7 |
|
|
| Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.) |
| easezyc/deep-transfer-learning |
517 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
mit |
Python |
| A collection of implementations of deep domain adaptation algorithms |
| KevinMusgrave/powerful-benchmarker |
426 |
|
0 |
0 |
over 2 years ago |
34 |
September 19, 2020 |
3 |
|
Jupyter Notebook |
| A library for ML benchmarking. It's powerful. |
| pykale/pykale |
415 |
|
0 |
0 |
about 2 years ago |
12 |
April 12, 2022 |
9 |
mit |
Python |
| Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work! |
| thuml/Xlearn |
409 |
|
0 |
0 |
about 5 years ago |
0 |
|
20 |
|
Jupyter Notebook |
| Transfer Learning Library |
| tim-learn/awesome-test-time-adaptation |
378 |
|
0 |
0 |
about 2 years ago |
0 |
|
0 |
mit |
|
| Collection of awesome test-time (domain/batch/instance) adaptation methods |
