| AntixK/PyTorch-VAE |
5,292 |
|
0 |
0 |
over 2 years ago |
0 |
|
48 |
apache-2.0 |
Python |
| A Collection of Variational Autoencoders (VAE) in PyTorch. |
| thu-ml/zhusuan |
2,139 |
|
0 |
0 |
over 3 years ago |
0 |
|
11 |
mit |
Python |
| A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow |
| lucidrains/vector-quantize-pytorch |
1,627 |
|
0 |
25 |
about 2 years ago |
160 |
December 06, 2023 |
27 |
mit |
Python |
| Vector Quantization, in Pytorch |
| PacktPublishing/Advanced-Deep-Learning-with-Keras |
1,534 |
|
0 |
0 |
about 3 years ago |
0 |
|
3 |
mit |
Python |
| Advanced Deep Learning with Keras, published by Packt |
| jaanli/variational-autoencoder |
1,104 |
|
0 |
0 |
over 4 years ago |
0 |
|
|
mit |
Python |
| Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow) |
| altosaar/variational-autoencoder |
1,049 |
|
0 |
0 |
over 4 years ago |
0 |
|
1 |
mit |
Python |
| Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow) |
| amirhossein-kz/Awesome-Diffusion-Models-in-Medical-Imaging |
923 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
|
| Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal) |
| ritheshkumar95/pytorch-vqvae |
679 |
|
0 |
0 |
almost 3 years ago |
0 |
|
6 |
|
Python |
| Vector Quantized VAEs - PyTorch Implementation |
| YannDubs/disentangling-vae |
668 |
|
0 |
0 |
about 3 years ago |
0 |
|
7 |
other |
Python |
| Experiments for understanding disentanglement in VAE latent representations |
| ikostrikov/TensorFlow-VAE-GAN-DRAW |
569 |
|
0 |
0 |
almost 9 years ago |
0 |
|
8 |
apache-2.0 |
Python |
| A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation). |
