MStypulkowski / BiGANLinks
Pytorch implementation of BiGAN and Conditional BiGAN
☆26Updated 6 years ago
Alternatives and similar repositories for BiGAN
Users that are interested in BiGAN are comparing it to the libraries listed below
Sorting:
- Improved training of Wasserstein GANs☆47Updated 3 years ago
- This is my PyTorch implementation of BiGAN☆14Updated 5 years ago
- Adversarial autoencoder (basic/semi-supervised/supervised)☆28Updated 2 years ago
- An application of Self-Attention GANs and DCGAN on mnist dataset.☆49Updated 4 years ago
- Wasserstein BiGAN (Bidirectional GAN trained using Wasserstein distance)☆35Updated 5 years ago
- Code to reproduce 'Combining GANs and AutoEncoders for efficient anomaly detection'☆40Updated 3 years ago
- Pytorch implementation of a Conditional WGAN with Gradient Penalty☆38Updated 5 years ago
- Implementation of "Autoencoding beyond pixels using a learned similarity metric" using Pytorch☆63Updated 5 years ago
- Generate high quality images for each class even with an imbalanced dataset. An improved version of Balancing GAN.☆37Updated 3 years ago
- Implementation of a Conditional Variational Auto-Encoder GAN in pytorch☆43Updated 3 years ago
- This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.☆39Updated 3 years ago
- ☆9Updated 4 years ago
- [NeurIPS 2021] Self-Supervised GANs with Label Augmentation☆22Updated 2 years ago
- CGAN ProjectionCGAN ACGAN InfoGAN Pytorch☆68Updated 6 years ago
- Pytorch for Triple-GAN☆42Updated 2 years ago
- Generation of 128x128 bird images using VAE-GAN with additional feature matching loss☆90Updated 6 years ago
- This is a re-implementation of TransGAN: Two Pure Transformers Can Make One Strong GAN (NeurIPS 2021) in PyTorch.☆113Updated last year
- Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.☆194Updated 4 months ago
- Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact☆7Updated 2 years ago
- Code for the paper: "Supervised contrastive learning over prototype-label embeddings for network intrusion detection"☆14Updated 4 years ago
- [ICML 2022] Conditional GANs with Auxiliary Discriminative Classifier☆28Updated 2 years ago
- Pytorch implementation of GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection☆27Updated 2 years ago
- The author's officially unofficial Pytorch EvolutionaryGAN implementation.☆67Updated 4 years ago
- A PyTorch implementation of Auxiliary Classifier GAN to generate CIFAR10 images.☆46Updated 6 years ago
- PyTorch implements WGAN_GP☆21Updated 5 years ago
- Data Augmentation optimized for GAN☆56Updated 4 years ago
- Easy-to-follow Pytorch tutorial Notebook for Multi-Agent-Diverse-Generative-Adversarial-Networks☆33Updated 4 years ago
- Pytorch implementations of various types of autoencoders☆66Updated 6 years ago
- Pytorch implementation of Wasserstein GANs with Gradient Penalty☆275Updated 4 years ago
- Continuous Conditional Generative Adversarial Networks (CcGAN)☆130Updated last year