| VITA-Group/AutoGAN |
460 |
|
0 |
0 |
about 3 years ago |
0 |
|
1 |
mit |
Python |
| [ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang |
| tensorlayer/awesome-tensorlayer |
212 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
cc0-1.0 |
|
| A curated list of dedicated resources and applications |
| mafda/generative_adversarial_networks_101 |
190 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets. |
| kvmanohar22/Generative-Models |
92 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
|
Python |
| Comparison of Generative Models in Tensorflow |
| IShengFang/SpectralNormalizationKeras |
86 |
|
0 |
0 |
over 6 years ago |
0 |
|
2 |
other |
Jupyter Notebook |
| Spectral Normalization for Keras Dense and Convolution Layers |
| snknitin/DeepfakeCapsuleGAN |
62 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Using Capsule Networks in GANS to generate very realistic fake images that could perhaps be used for deepfakes |
| tlatkowski/gans-2.0 |
60 |
|
0 |
0 |
over 5 years ago |
0 |
|
5 |
mit |
Python |
| Generative Adversarial Networks in TensorFlow 2.0 |
| raeidsaqur/CapsGAN |
43 |
|
0 |
0 |
about 7 years ago |
0 |
|
3 |
mit |
Python |
| Unsupervised representation learning with CapsNet based Generative Adversarial Networks |
| 9310gaurav/ali-pytorch |
41 |
|
0 |
0 |
almost 8 years ago |
0 |
|
4 |
|
Python |
| PyTorch implementation of Adversarially Learned Inference (BiGAN). |
| King-Of-Knights/Keras-ACGAN-CIFAR10 |
38 |
|
0 |
0 |
over 8 years ago |
0 |
|
6 |
|
Python |
