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
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago
- ☆68Updated 6 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆86Updated 6 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆91Updated 4 years ago
- PyTorch implementation of "Auto-Encoding Variational Bayes"☆41Updated 8 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆102Updated 5 years ago
- A brief tutorial on the Wasserstein auto-encoder☆83Updated 6 years ago
- ☆91Updated 5 years ago
- Pytorch Implementation of variational auto-encoder for MNIST☆62Updated 6 years ago
- An adversarial autoencoder implementation in pytorch☆83Updated 5 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆91Updated 4 years ago
- Pytorch implementation of Maximum Mean Discrepancy Variational Autoencoder, a member of the InfoVAE family that maximizes Mutual Informat…☆56Updated 4 years ago
- A minimal pytorch implementation of VAE, IWAE, MIWAE☆47Updated 2 years ago
- Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch☆42Updated 4 years ago
- Improving MMD-GAN training with repulsive loss function☆89Updated 2 years ago
- Convolutional variational autoencoder in PyTorch☆46Updated 7 years ago
- PyTorch implementation of Wasserstein Auto-Encoders☆295Updated 4 years ago
- Wasserstein Adversarial Autoencoder Pytorch☆27Updated 7 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 6 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated last year
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆86Updated 5 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆74Updated 5 years ago
- ☆110Updated 7 years ago
- Implementation of a convolutional Variational-Autoencoder model in pytorch.☆74Updated 6 years ago
- PyTorch Implementation of Neural Statistician☆60Updated 3 years ago
- Original implementation of Separated Paths for Local and Global Information framework (SPLIT) in TensorFlow 2.☆19Updated last year
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆57Updated 6 years ago
- A Pytorch Implementation of the Beta-VAE☆43Updated 5 years ago
- Pytorch implementation of paper "Autoencoding beyond pixels using a learned similarity metric"☆43Updated 5 years ago