atinghosh / VAE-pytorch
Variational auto encoder in pytorch
☆56Updated 6 years ago
Alternatives and similar repositories for VAE-pytorch:
Users that are interested in VAE-pytorch are comparing it to the libraries listed below
- Pytorch Adversarial Auto Encoder (AAE)☆86Updated 6 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Updated 6 years ago
- ☆90Updated 5 years ago
- ☆68Updated 5 years ago
- PyTorch implementation of "Auto-Encoding Variational Bayes"☆41Updated 8 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆91Updated 4 years ago
- PyTorch Implementation of Neural Statistician☆60Updated 3 years ago
- Convolutional variational autoencoder in PyTorch☆46Updated 6 years ago
- This repository contains a pytorch implementation for the paper: Multi-Level Variational Autoencoder (https://arxiv.org/abs/1705.08841), …☆70Updated 3 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆91Updated 4 years ago
- Pytorch implementation of paper "Autoencoding beyond pixels using a learned similarity metric"☆43Updated 5 years ago
- Pytorch Implementation of variational auto-encoder for MNIST☆61Updated 6 years ago
- Gaussian Process Prior Variational Autoencoder☆83Updated 6 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆101Updated 5 years ago
- Quantitative evaluation of disentangled representations☆62Updated 7 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆60Updated last year
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- Implementation of "Learning latent subspaces in variational autoencoders"☆20Updated 5 years ago
- Implementation of a convolutional Variational-Autoencoder model in pytorch.☆74Updated 5 years ago
- Wasserstein Adversarial Autoencoder Pytorch☆27Updated 7 years ago
- A brief tutorial on the Wasserstein auto-encoder☆83Updated 6 years ago
- PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models☆149Updated 5 years ago
- A minimal pytorch implementation of VAE, IWAE, MIWAE☆47Updated 2 years ago
- Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorch☆22Updated 5 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆227Updated 6 years ago
- Improving MMD-GAN training with repulsive loss function☆89Updated 2 years ago
- Disentanglement library for PyTorch☆276Updated 2 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 6 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆40Updated 6 years ago