For beginner, this will be the best start for VAEs, GANs, and CVAE-GAN. This contains AE, DAE, VAE, GAN, CGAN, DCGAN, WGAN, WGAN-GP, VAE-GAN, CVAE-GAN. All use PyTorch.
☆830Dec 29, 2023Updated 2 years ago
Alternatives and similar repositories for CVAE-GAN-zoos-PyTorch-Beginner
Users that are interested in CVAE-GAN-zoos-PyTorch-Beginner are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch☆663Updated this week
- Generation of 128x128 bird images using VAE-GAN with additional feature matching loss☆90Aug 6, 2018Updated 7 years ago
- pytorch implementation Variational Autoencoder and Conditional Variational Autoencoder☆79Oct 18, 2018Updated 7 years ago
- ☆88Jan 31, 2018Updated 8 years ago
- A Collection of Variational Autoencoders (VAE) in PyTorch.☆7,657Mar 21, 2025Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- VAEGAN from "Autoencoding beyond pixels using a learned similarity metric" implemented in Pytorch. Clean, clear and with comments.☆193Dec 18, 2017Updated 8 years ago
- Pytorch implementation of DCGAN, WGAN-CP, WGAN-GP☆807Oct 21, 2025Updated 8 months ago
- PyTorch implementations of Generative Adversarial Networks.☆17,462Jun 18, 2024Updated 2 years ago
- This repo contains PyTorch implementation of cGAN, cWGAN, and cWGAN-gp for tabular data.☆15Dec 21, 2023Updated 2 years ago
- A CVAE-GAN implementation with tensorlayer1.x☆20Aug 23, 2018Updated 7 years ago
- Conditional variational autoencoder implementation in Torch☆106Mar 1, 2016Updated 10 years ago
- Pytorch implementation of paper "Autoencoding beyond pixels using a learned similarity metric"☆48Nov 8, 2019Updated 6 years ago
- Conditional variational autoencoder applied to EMNIST + an interactive demo to explore the latent space.☆25Aug 9, 2018Updated 7 years ago
- Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.☆7,495Mar 24, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- PyTorch implementation of VAEGAN☆29Jan 4, 2020Updated 6 years ago
- This repo contains a PyTorch-based AE-ConvLSTM model for fluid flow prediction. It can forecast 5–10 time steps per forward pass and over…☆29Jun 2, 2025Updated last year
- Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Ne…☆533Aug 22, 2017Updated 8 years ago
- Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.☆206Feb 2, 2025Updated last year
- a simple vae and cvae from keras☆1,389May 18, 2021Updated 5 years ago
- This is an implementation of the VAE (Variational Autoencoder) for Cifar10☆73Dec 20, 2021Updated 4 years ago
- VAE-GAN applied to the MNIST Digits☆22Dec 4, 2019Updated 6 years ago
- A Variational Autoencoder (VAE) implemented in PyTorch☆432Jun 4, 2022Updated 4 years ago
- ☆16Nov 29, 2024Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)☆1,093Dec 6, 2022Updated 3 years ago
- The model uses the AE-GAN (Autoencoder Generative Adversarial Network) architecture for generating upsampled images. The model is trained…☆13May 25, 2020Updated 6 years ago
- Implement GANs to generate time-series signals for imbalanced learning problem. The experiments are conducted using CWRU bearing data.☆88Nov 18, 2021Updated 4 years ago
- Generate synthetic network attack packet flows using generative adversarial networks.☆31Dec 5, 2020Updated 5 years ago
- Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN☆3,102Sep 8, 2017Updated 8 years ago
- Variational Autoencoder (VAE) with perception loss implementation in pytorch☆149Jul 25, 2024Updated last year
- Synthesize plausible ECG signals via Generative adversarial networks☆26Sep 11, 2022Updated 3 years ago
- A package containing neural network architectures based on Variational Autoencoders (VAE) and Restricted Boltzmann Machines (RBM) for lea…☆12Dec 23, 2021Updated 4 years ago
- ☆20Jan 20, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)☆1,997Jul 31, 2024Updated last year
- AE, VAE, and CVAE in PyTorch☆67Nov 28, 2018Updated 7 years ago
- github for "Molecular generative model based on conditional variational autoencoder for de novo molecular design"☆108Mar 20, 2022Updated 4 years ago
- Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation (ICCV 2021)☆73Mar 16, 2022Updated 4 years ago
- [AAAI 2022] RareGAN: Generating Samples for Rare Classes☆23Jan 25, 2023Updated 3 years ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆63Dec 1, 2021Updated 4 years ago
- Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST …☆528Jan 21, 2024Updated 2 years ago