Som Vae
TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Tensorflow Generative Model Collections | 3,570 | 6 years ago | 22 | apache-2.0 | Python | |||||
| Collection of generative models in Tensorflow | ||||||||||
| Advanced Deep Learning With Keras | 1,534 | a year ago | 3 | mit | Python | |||||
| Advanced Deep Learning with Keras, published by Packt | ||||||||||
| Pytorch Vqvae | 679 | 9 months ago | 6 | Python | ||||||
| Vector Quantized VAEs - PyTorch Implementation | ||||||||||
| Disentangling Vae | 668 | a year ago | 7 | other | Python | |||||
| Experiments for understanding disentanglement in VAE latent representations | ||||||||||
| Vae Cvae Mnist | 508 | 5 months ago | 1 | Python | ||||||
| Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch | ||||||||||
| Joint Vae | 384 | 5 years ago | 1 | mit | Jupyter Notebook | |||||
| Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2: | ||||||||||
| Tensorflow Mnist Vae | 379 | 7 years ago | 6 | Python | ||||||
| Tensorflow implementation of variational auto-encoder for MNIST | ||||||||||
| Vae_tutorial | 348 | 7 years ago | 2 | mit | Python | |||||
| Caffe code to accompany my Tutorial on Variational Autoencoders | ||||||||||
| Awesome Deep Vision Web Demo | 285 | 5 years ago | ||||||||
| A curated list of awesome deep vision web demo | ||||||||||
| Vq Vae | 238 | 3 years ago | 3 | bsd-3-clause | Python | |||||
| Minimalist implementation of VQ-VAE in Pytorch | ||||||||||
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