dariocazzani / pytorch-AE
Autoencoders in PyTorch
☆92Updated 3 years ago
Alternatives and similar repositories for pytorch-AE:
Users that are interested in pytorch-AE are comparing it to the libraries listed below
- Variational Autoencoder (VAE) with perception loss implementation in pytorch☆128Updated 9 months ago
- Variational Autoencoders trained on the SVHN and FashionMNIST data-sets implemented in PyTorch☆32Updated last year
- A Variational Autoencoder based on the ResNet18-architecture☆119Updated 6 years ago
- Various autoencoders with ResNet, DenseNet and U-Net implementations, as well as VAE and GAN implementations.☆38Updated last year
- [CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Va…☆198Updated 2 years ago
- Continuous Conditional Generative Adversarial Networks (CcGAN)☆132Updated last year
- Implementation of "Autoencoding beyond pixels using a learned similarity metric" using Pytorch☆61Updated 4 years ago
- A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch☆299Updated 4 years ago
- Collection of PyTorch Lightning implementations of Generative Adversarial Network varieties presented in research papers.☆167Updated last month
- A brief tutorial on the Wasserstein auto-encoder☆83Updated 6 years ago
- Simple and clean implementation of Conditional Variational AutoEncoder (cVAE) using PyTorch☆98Updated last year
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆91Updated 4 years ago
- Pytorch implementation for VAE and conditional VAE.☆35Updated 4 years ago
- Convolutional Autoencoder with SetNet in PyTorch☆86Updated 2 years ago
- Variational AutoEncoder + ResNet Transfer Learning☆229Updated 2 years ago
- Conditional VAE in Tensorflow 2 | Conditional Image Generation | CelebA dataset☆25Updated 4 years ago
- Visually Explainable VAE☆62Updated 4 years ago
- PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)☆70Updated 7 years ago
- Experimenting with different regression losses. Implemented in Pytorch.☆147Updated 6 years ago
- PyTorch Implementation of InfoGAN☆324Updated 2 years ago
- This is a re-implementation of TransGAN: Two Pure Transformers Can Make One Strong GAN (NeurIPS 2021) in PyTorch.☆113Updated last year
- 2-dimensional visualization of the latent space learned by a deep autoencoder on MNIST☆35Updated 5 years ago
- A Pytorch Implementation of a denoising autoencoder.☆44Updated 5 years ago
- Improved training of Wasserstein GANs☆47Updated 3 years ago
- A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners☆79Updated 2 years ago
- Pytorch implementations of various types of autoencoders☆66Updated 6 years ago
- A Pytorch Implementation of the Beta-VAE☆43Updated 5 years ago
- Pytorch implementation of Wasserstein GANs with Gradient Penalty☆269Updated 4 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆56Updated 6 years ago
- Convolutional variational autoencoder in PyTorch☆46Updated 7 years ago