| tensorlayer/awesome-tensorlayer |
212 |
|
0 |
0 |
about 6 years ago |
0 |
|
1 |
cc0-1.0 |
|
| A curated list of dedicated resources and applications |
| moucheng2017/Learn_Noisy_Labels_Medical_Images |
32 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
|
Python |
| [NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images |
| buttomnutstoast/Multigrid-Neural-Architectures |
23 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
other |
Lua |
| Multigrid Neural Architecture |
| michaelmendoza/learning-tensorflow |
18 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Simple Tensorflow tutorials for learning by example |
| RobRomijnders/segm |
10 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
Python |
| Simple Semantic Segmentation |
| mkmenta/domain_adapt_segm |
7 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
mit |
Python |
| Implementation of my Master Thesis "Learning to adapt class-specific features across domains for semantic segmentation". |
