| 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. |
| GMvandeVen/continual-learning |
1,190 |
|
0 |
0 |
almost 3 years ago |
0 |
|
2 |
mit |
Python |
| PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios. |
| RubensZimbres/Repo-2017 |
1,146 |
|
0 |
0 |
over 4 years ago |
0 |
|
1 |
|
Python |
| Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano |
| 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) |
| scverse/scvi-tools |
1,067 |
|
0 |
40 |
about 2 years ago |
71 |
December 07, 2023 |
98 |
bsd-3-clause |
Python |
| Deep probabilistic analysis of single-cell omics data |
| 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) |
| wubinzzu/NeuRec |
861 |
|
0 |
0 |
over 4 years ago |
1 |
November 04, 2019 |
15 |
|
Python |
| Next RecSys Library |
| 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 |
| timbmg/VAE-CVAE-MNIST |
508 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
|
Python |
| Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch |
