fmu2 / Wasserstein-BiGAN
Wasserstein BiGAN (Bidirectional GAN trained using Wasserstein distance)
☆35Updated 5 years ago
Alternatives and similar repositories for Wasserstein-BiGAN
Users that are interested in Wasserstein-BiGAN are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of Adversarially Learned Inference (BiGAN).☆80Updated 6 years ago
- This is my PyTorch implementation of BiGAN☆14Updated 5 years ago
- This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.☆39Updated 3 years ago
- Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.☆89Updated 9 months ago
- The author's officially unofficial Pytorch EvolutionaryGAN implementation.☆67Updated 4 years ago
- Pytorch implementation of a Conditional WGAN with Gradient Penalty☆37Updated 5 years ago
- ☆50Updated 5 years ago
- ☆51Updated 2 years ago
- PyTorch implemented generative models for CelebA dataset: DCGAN, LSGAN, WGAN, WGANGP, InfoGAN, BEGAN, VAE, VAEGAN☆37Updated 6 years ago
- Implementation of Generative Moment Matching Networks in pytorch☆17Updated 6 years ago
- Generation of 128x128 bird images using VAE-GAN with additional feature matching loss☆89Updated 6 years ago
- Reverse Cross Entropy for Adversarial Detection (NeurIPS 2018)☆45Updated 4 years ago
- Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection☆65Updated 4 years ago
- ☆68Updated 6 years ago
- Robust Out-of-distribution Detection in Neural Networks☆72Updated 3 years ago
- Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and featu…☆41Updated 4 years ago
- Adversarial autoencoder (basic/semi-supervised/supervised)☆28Updated 2 years ago
- Code for ECCV 2020 paper "Backpropagated Gradient Representations for Anomaly Detection"☆29Updated 4 years ago
- [NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks☆81Updated 4 years ago
- SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]☆136Updated 3 years ago
- ALAD (Proceedings of IEEE ICDM 2018) official code☆135Updated 6 years ago
- [NeurIPS 2020] "Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free" by Haotao Wang*, Tianlong C…☆44Updated 3 years ago
- Pytorch for Triple-GAN☆42Updated 2 years ago
- Implementation of GANomaly with MNIST dataset☆17Updated 5 years ago
- t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature☆64Updated 7 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
- Sliced Wasserstein Distance (SWD) in PyTorch☆111Updated 5 years ago
- Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection (MemAE)☆63Updated 5 years ago
- ☆10Updated 4 years ago
- This is a pytorch implementation of the paper "On Leveraging Pretrained GANs for Limited-Data Generation".☆59Updated 4 years ago