shivakanthsujit / VAE-PyTorch
Variational Autoencoders trained on the SVHN and FashionMNIST data-sets implemented in PyTorch
☆32Updated last year
Alternatives and similar repositories for VAE-PyTorch:
Users that are interested in VAE-PyTorch are comparing it to the libraries listed below
- Autoencoders in PyTorch☆91Updated 2 years ago
- Pytorch implementation of paper "Autoencoding beyond pixels using a learned similarity metric"☆43Updated 5 years ago
- VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.☆79Updated 4 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆91Updated 4 years ago
- [CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Va…☆197Updated 2 years ago
- Convolutional variational autoencoder in PyTorch☆46Updated 6 years ago
- A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch☆299Updated 4 years ago
- An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》☆111Updated 3 years ago
- Pytorch Implementation of variational auto-encoder for MNIST☆61Updated 6 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆91Updated 4 years ago
- Play time!☆197Updated 6 months ago
- Pytorch implementation of Wasserstein GANs with Gradient Penalty☆262Updated 4 years ago
- Implementation of "Autoencoding beyond pixels using a learned similarity metric" using Pytorch☆60Updated 4 years ago
- Pytorch implementations of various types of autoencoders☆66Updated 6 years ago
- Variational auto encoder in pytorch☆56Updated 6 years ago
- Tensorflow 2.0 implementation of Adversarial Autoencoders☆20Updated 5 years ago
- An application of Self-Attention GANs and DCGAN on mnist dataset.☆49Updated 4 years ago
- Example of vanilla VAE for face image generation at resolution 128x128 using pytorch.☆73Updated 6 years ago
- Variational Autoencoder (VAE) with perception loss implementation in pytorch☆123Updated 8 months ago
- Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR1…☆123Updated 6 years ago
- In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…☆41Updated 3 years ago
- Implementation of Vector Quantised VAE (VQ-VAE) with PixelCNN prior in Tensorflow.☆37Updated last year
- Pytorch Adversarial Auto Encoder (AAE)☆86Updated 6 years ago
- A σ-VAE implementation in PyTorch☆97Updated 3 years ago
- Pytorch implementation for VAE and conditional VAE.☆35Updated 4 years ago
- Implementation of Variational Autoencoders using Pytorch Lightning☆33Updated last year
- Keras Implementation of Vector Quantizer Variational AutoEncoder (VQ-VAE)☆29Updated 4 years ago
- 2-dimensional visualization of the latent space learned by a deep autoencoder on MNIST☆34Updated 5 years ago
- A pytorch implementation of WGAN-GP☆23Updated 6 years ago
- PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)☆69Updated 7 years ago