| timsainb/Tensorflow-MultiGPU-VAE-GAN |
399 |
|
0 |
0 |
almost 7 years ago |
0 |
|
10 |
mit |
Jupyter Notebook |
| A single jupyter notebook multi gpu VAE-GAN example with latent space algebra and receptive field visualizations. |
| genforce/idinvert |
344 |
|
0 |
0 |
over 4 years ago |
0 |
|
12 |
mit |
Python |
| [ECCV 2020] In-Domain GAN Inversion for Real Image Editing |
| DmitryUlyanov/AGE |
267 |
|
0 |
0 |
almost 8 years ago |
0 |
|
5 |
|
Python |
| Code for the paper "Adversarial Generator-Encoder Networks" |
| corenel/pytorch-adda |
264 |
|
0 |
0 |
almost 8 years ago |
0 |
|
21 |
mit |
Python |
| A PyTorch implementation for Adversarial Discriminative Domain Adaptation |
| LianHaiMiao/pytorch-lesson-zh |
214 |
|
0 |
0 |
almost 7 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| pytorch 包教不包会 |
| akanimax/Variational_Discriminator_Bottleneck |
138 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
mit |
Python |
| Implementation (with some experimentation) of the paper titled "VARIATIONAL DISCRIMINATOR BOTTLENECK: IMPROVING IMITATION LEARNING, INVERSE RL, AND GANS BY CONSTRAINING INFORMATION FLOW" (arxiv -> https://arxiv.org/pdf/1810.00821.pdf) |
| KaiyuanGao/NLP-RoadMap |
129 |
|
0 |
0 |
about 3 years ago |
0 |
|
2 |
|
|
| 📚 机器学习、深度学习、自然语言处理学习路线图 及 AI方向学习资源、工具 |
| genforce/idinvert_pytorch |
108 |
|
0 |
0 |
over 5 years ago |
0 |
|
4 |
mit |
Python |
| ECCV'20 paper `In-Domain GAN Inversion for Real Image Editing` code (PyTorch version) |
| bojone/o-gan |
99 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
|
Python |
| O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks |
| NIRVANALAN/E3DGE |
91 |
|
0 |
0 |
over 2 years ago |
0 |
|
2 |
other |
Jupyter Notebook |
| [CVPR 2023] E3DGE: An encoder-based 3D StyleGAN inversion framework. |
