kuc2477 / pytorch-vaeLinks
PyTorch implementation of "Auto-Encoding Variational Bayes", arxiv:1312.6114
☆55Updated 6 years ago
Alternatives and similar repositories for pytorch-vae
Users that are interested in pytorch-vae are comparing it to the libraries listed below
Sorting:
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆102Updated 7 years ago
- Gaussian Process Prior Variational Autoencoder☆86Updated 6 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆39Updated 6 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆92Updated 5 years ago
- Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…☆106Updated 6 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆233Updated 7 years ago
- Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch☆43Updated 4 years ago
- ☆91Updated 6 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆205Updated 7 years ago
- PyTorch implementation of "Auto-Encoding Variational Bayes"☆41Updated 8 years ago
- ☆110Updated 8 years ago
- PyTorch Implementation of Neural Statistician☆60Updated 3 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆236Updated 7 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆87Updated 6 years ago
- Experiments for the Neural Autoregressive Flows paper☆125Updated 4 years ago
- Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders☆214Updated 5 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆85Updated 2 years ago
- Temporal Difference Variational Auto-Encoder (TD-VAE) (Implementation in PyTorch)☆163Updated 2 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 7 years ago
- ☆66Updated 6 years ago
- PyTorch implementation of Wasserstein Auto-Encoders☆296Updated 5 years ago
- Disentanglement library for PyTorch☆281Updated 3 years ago
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models☆66Updated 2 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- ☆79Updated 6 months ago
- ☆26Updated 6 years ago
- Pytorch implementation of Hyperspherical Variational Auto-Encoders☆377Updated 5 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆90Updated 7 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 6 years ago
- Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)☆281Updated 7 years ago