mperezcarrasco / PyTorch-BiGAN
This is my PyTorch implementation of BiGAN
☆13Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for PyTorch-BiGAN
- Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and featu…☆42Updated 3 years ago
- This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.☆39Updated 3 years ago
- Adversarial autoencoder (basic/semi-supervised/supervised)☆26Updated 2 years ago
- Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.☆89Updated 3 months ago
- This repo contains the implementation of the Wasserstein Barycenter Transport proposed in "Wasserstein Barycenter Transport for Acoustic …☆31Updated 2 years ago
- Code of Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs☆18Updated last year
- A list of all papers related to anomaly detection in NeurIPS 2020.☆10Updated 3 years ago
- Pytorch code for “Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment ” (DRMEA) (AAAI 2020).☆30Updated 4 years ago
- ☆12Updated 4 years ago
- End-to-end Deep Linear Discriminant Analysis in Pytorch.☆17Updated 3 years ago
- Wasserstein BiGAN (Bidirectional GAN trained using Wasserstein distance)☆35Updated 4 years ago
- Code of the paper 'Neural Transformation Learning for Anomaly Detection' published in ICML 2021☆37Updated 2 years ago
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆27Updated 3 years ago
- Code refactoring for paper "Domain Generalization with Adversarial Feature Learning" in VLCS datasets.☆54Updated 4 years ago
- This code was finished before source code hasn't been released.☆26Updated 4 years ago
- Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'☆19Updated 3 years ago
- Contrastive Adversarial Learning for Multi-Source Time Series Domain Adaptation☆25Updated 3 years ago
- Reproducing experimental results of OOD-by-MCD [Yu and Aizawa et al. ICCV 2019]☆31Updated 4 years ago
- Generative Adversarial Minority Oversampling☆31Updated 4 years ago
- Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".☆131Updated 5 years ago
- E3Outlier: Effective End-to-end Unsupervised Outlier Detection☆44Updated 2 years ago
- SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]☆134Updated 3 years ago
- [NeurIPS 2021] Self-Supervised GANs with Label Augmentation☆20Updated last year
- Reverse Cross Entropy for Adversarial Detection (NeurIPS 2018)☆45Updated 3 years ago
- Domain Generalization via Entropy Regularization, NeurIPS'20☆63Updated 3 years ago
- ☆18Updated last year
- Pytorch implementation of BiGAN and Conditional BiGAN☆21Updated 5 years ago
- Multiple Source Domain Adaptation with Adversarial Learning☆20Updated 4 years ago
- Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)☆40Updated last year
- A study of distance measures and learning methods for semi-supervised learning on time series data☆16Updated 3 years ago