UBCDingXin / improved_CcGANLinks
Continuous Conditional Generative Adversarial Networks (CcGAN)
☆133Updated last month
Alternatives and similar repositories for improved_CcGAN
Users that are interested in improved_CcGAN are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of Wasserstein GANs with Gradient Penalty☆276Updated 4 years ago
- A pytorch implementation of WGAN-GP☆23Updated 6 years ago
- Variational Autoencoder (VAE) with perception loss implementation in pytorch☆144Updated last year
- A Variational Autoencoder based on the ResNet18-architecture☆121Updated 6 years ago
- Pytorch implementation of a Conditional WGAN with Gradient Penalty☆40Updated 5 years ago
- Improved training of Wasserstein GANs☆46Updated 4 years ago
- Implementation of "Autoencoding beyond pixels using a learned similarity metric" using Pytorch☆67Updated 5 years ago
- This is a re-implementation of TransGAN: Two Pure Transformers Can Make One Strong GAN (NeurIPS 2021) in PyTorch.☆115Updated last year
- An application of Self-Attention GANs and DCGAN on mnist dataset.☆49Updated 5 years ago
- Pytorch implementation of DCGAN, WGAN-CP, WGAN-GP☆793Updated 3 weeks ago
- Implementation of a Conditional Variational Auto-Encoder GAN in pytorch☆43Updated 4 years ago
- PyTorch Implementation of InfoGAN☆327Updated 3 years ago
- Pytorch implementation of common image generation metrics.☆191Updated last year
- Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.☆202Updated 9 months ago
- Variational AutoEncoder + ResNet Transfer Learning☆233Updated 3 years ago
- Pytorch implementation for VAE and conditional VAE.☆37Updated 5 years ago
- Simple and clean implementation of Conditional Variational AutoEncoder (cVAE) using PyTorch☆120Updated 2 years ago
- An unofficial Pytorch implementation of SNGAN, achieving IS of 8.21 and FID of 14.21 on CIFAR-10.☆47Updated 2 years ago
- PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)☆72Updated 8 years ago
- PyTorch implementation for Conditional Image Generation with Score-Based Diffusion Models☆79Updated last year
- pytorch implementation of GAN and Conditional GAN☆19Updated 7 years ago
- Example of vanilla VAE for face image generation at resolution 128x128 using pytorch.☆76Updated 6 years ago
- A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch☆303Updated 5 years ago
- The Official PyTorch Implementation of "LSGM: Score-based Generative Modeling in Latent Space" (NeurIPS 2021)☆366Updated 3 years ago
- The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)☆1,077Updated 2 years ago
- A toy example of VAE-regression network☆71Updated 5 years ago
- Simple implementation of conditional general adverse nets in pytorch machine learning framework☆57Updated 7 months ago
- Code for the master thesis "Probabilistic Regression using Conditional Generative Adversarial Networks"☆36Updated last month
- Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"☆377Updated 3 years ago
- ☆35Updated 6 years ago