| HelenMao/MSGAN |
316 |
|
0 |
0 |
almost 7 years ago |
0 |
|
1 |
|
Python |
| MSGAN: Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis (CVPR2019) |
| layumi/Person-reID_GAN |
305 |
|
0 |
0 |
almost 5 years ago |
0 |
|
7 |
mit |
Cuda |
| ICCV2017 Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro |
| sangwoomo/FreezeD |
230 |
|
0 |
0 |
over 4 years ago |
0 |
|
2 |
|
Python |
| Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020) |
| qiaoguan/Person-reid-GAN-pytorch |
133 |
|
0 |
0 |
over 6 years ago |
0 |
|
19 |
|
Python |
| A Pytorch Implementation of "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro"(ICCV17) |
| ssarfjoo/improvedsegan |
25 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
mit |
Python |
| This repository is an extension of GAN based speech enhancement called SEGAN, and we present two modifications to make model training more robust and stable. |
| miu200521358/motion_trace_bulk |
24 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
gpl-3.0 |
Batchfile |
| MMDモーショントレース自動化一括処理バッチ |
| ptirupat/ThoughtViz |
9 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
|
Python |
| Implementation for the paper https://dl.acm.org/citation.cfm?doid=3240508.3240641 |
| mattbev/6.867-final-project |
9 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
mit |
Python |
| Adversarial attacks and defenses against federated learning. |
| weilinie/JARE |
5 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
mit |
Python |
| Code for Towards a Better Understanding and Regularization of GAN Training Dynamics |
