nitarshan / variational-autoencoderLinks
PyTorch implementation of "Auto-Encoding Variational Bayes"
☆41Updated 8 years ago
Alternatives and similar repositories for variational-autoencoder
Users that are interested in variational-autoencoder are comparing it to the libraries listed below
Sorting:
- ☆68Updated 6 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆88Updated 6 years ago
- ☆91Updated 6 years ago
- PyTorch Implementation of Neural Statistician☆60Updated 3 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago
- Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch☆42Updated 4 years ago
- Variational auto encoder in pytorch☆56Updated 6 years ago
- Wasserstein Adversarial Autoencoder Pytorch☆27Updated 7 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆228Updated 7 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆39Updated 6 years ago
- Implementation of a convolutional Variational-Autoencoder model in pytorch.☆74Updated 6 years ago
- ☆109Updated 7 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- An adversarial autoencoder implementation in pytorch☆83Updated 6 years ago
- PyTorch implementation of Wasserstein Auto-Encoders☆295Updated 4 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆91Updated 4 years ago
- Mutual Information Neural Estimator implemented in Tensorflow☆46Updated 6 years ago
- PyTorch implementation of "Auto-Encoding Variational Bayes", arxiv:1312.6114☆54Updated 6 years ago
- PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models☆151Updated 5 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆92Updated 4 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆101Updated 9 years ago
- Improving MMD-GAN training with repulsive loss function☆89Updated 2 years ago
- Variational Auto-encoder with Non-parametric Bayesian Prior☆43Updated 8 years ago
- Convolutional variational autoencoder in PyTorch☆46Updated 7 years ago
- dcgan combined with vae in pytorch!☆117Updated 6 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated last year
- source code of the paper Graphical Generative Adversarial Networks☆71Updated 6 years ago
- Implementation of VLAE☆215Updated 7 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago