| podgorskiy/ALAE |
2,850 |
|
0 |
0 |
about 5 years ago |
0 |
|
31 |
|
Python |
| [CVPR2020] Adversarial Latent Autoencoders |
| timsainb/tensorflow2-generative-models |
833 |
|
0 |
0 |
over 5 years ago |
0 |
|
7 |
|
Jupyter Notebook |
| Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab. |
| auspicious3000/autovc |
687 |
|
0 |
0 |
almost 4 years ago |
0 |
|
47 |
mit |
Python |
| AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss |
| jsn5/dancenet |
453 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
mit |
Python |
| DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras) |
| matthewvowels1/Awesome-VAEs |
448 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
|
|
| A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models. |
| shayneobrien/generative-models |
414 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
mit |
Jupyter Notebook |
| Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN |
| EndlessSora/focal-frequency-loss |
407 |
|
0 |
0 |
almost 4 years ago |
7 |
October 22, 2021 |
3 |
mit |
Python |
| [ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis |
| hardmaru/cppn-gan-vae-tensorflow |
316 |
|
0 |
0 |
about 10 years ago |
0 |
|
1 |
|
Python |
| Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolution images. |
| ermongroup/Variational-Ladder-Autoencoder |
198 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
|
Python |
| Implementation of VLAE |
| CompVis/net2net |
128 |
|
0 |
0 |
almost 5 years ago |
0 |
|
4 |
|
Python |
| Network-to-Network Translation with Conditional Invertible Neural Networks |
