mperezcarrasco / PyTorch-BiGAN
This is my PyTorch implementation of BiGAN
☆14Updated 4 years ago
Alternatives and similar repositories for PyTorch-BiGAN:
Users that are interested in PyTorch-BiGAN are comparing it to the libraries listed below
- Wasserstein BiGAN (Bidirectional GAN trained using Wasserstein distance)☆35Updated 5 years ago
- Code of Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs☆20Updated last year
- Pytorch implementation of BiGAN and Conditional BiGAN☆22Updated 5 years ago
- Code of the paper 'Neural Transformation Learning for Anomaly Detection' published in ICML 2021☆40Updated 2 years ago
- Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.☆89Updated 6 months ago
- This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.☆39Updated 3 years ago
- Code to reproduce 'Combining GANs and AutoEncoders for efficient anomaly detection'☆40Updated 3 years ago
- This repository contains the codes to reproduce the results of our proposed novelty detection algorithm based on adversarially robust aut…☆19Updated last year
- Adversarial autoencoder (basic/semi-supervised/supervised)☆28Updated 2 years ago
- Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and featu…☆41Updated 4 years ago
- Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection☆64Updated 4 years ago
- SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]☆136Updated 3 years ago
- The official codebase for Unsupervised Anomaly Detection with Adversarial Mirrored AutoEncoders paper (UAI'21).☆16Updated 3 years ago
- Reproducing experimental results of OOD-by-MCD [Yu and Aizawa et al. ICCV 2019]☆30Updated 5 years ago
- [NeurIPS 2021] Self-Supervised GANs with Label Augmentation☆21Updated last year
- The official codes for the paper Supervised Anomaly Detection via a Class-Balanced Generative Adversarial Network☆9Updated last year
- ☆14Updated 2 years ago
- Domain Generalization via Entropy Regularization, NeurIPS'20☆63Updated 4 years ago
- ☆11Updated 3 years ago
- Pytorch for Triple-GAN☆42Updated 2 years ago
- Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"☆38Updated 3 years ago
- ☆29Updated 4 years ago
- Robust Out-of-distribution Detection in Neural Networks☆72Updated 2 years ago
- ☆10Updated 4 years ago
- Generalizing to unseen domains via distribution matching☆70Updated 4 years ago
- Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks☆13Updated 3 years ago
- Mutual Information Neural Entropic Estimation☆27Updated last year
- Reverse Cross Entropy for Adversarial Detection (NeurIPS 2018)☆45Updated 3 years ago
- This is an implementation of the VAE (Variational Autoencoder) for Cifar10☆69Updated 3 years ago
- Pytorch implementation of a Conditional WGAN with Gradient Penalty☆37Updated 5 years ago