| 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. |
| clementchadebec/benchmark_VAE |
1,597 |
|
0 |
0 |
about 2 years ago |
12 |
September 06, 2023 |
21 |
apache-2.0 |
Python |
| Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022) |
| 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) |
| jmtomczak/intro_dgm |
758 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
mit |
Jupyter Notebook |
| An Introduction to Deep Generative Modeling: Examples |
| YannDubs/disentangling-vae |
668 |
|
0 |
0 |
about 3 years ago |
0 |
|
7 |
other |
Python |
| Experiments for understanding disentanglement in VAE latent representations |
| VincentStimper/normalizing-flows |
520 |
|
0 |
1 |
over 2 years ago |
10 |
November 16, 2023 |
6 |
mit |
Python |
| PyTorch implementation of normalizing flow models |
| timbmg/VAE-CVAE-MNIST |
508 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
|
Python |
| Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch |
| navneet-nmk/pytorch-rl |
356 |
|
0 |
0 |
almost 7 years ago |
2 |
August 20, 2018 |
3 |
|
Python |
| This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch |
| EugenHotaj/pytorch-generative |
355 |
|
0 |
0 |
over 2 years ago |
0 |
|
2 |
mit |
Python |
| Easy generative modeling in PyTorch. |
