liuem607 / expVAELinks
Visually Explainable VAE
☆63Updated 4 years ago
Alternatives and similar repositories for expVAE
Users that are interested in expVAE are comparing it to the libraries listed below
Sorting:
- ☆155Updated last year
- A simple and effective method for single-class classification of images☆160Updated 3 years ago
- SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]☆137Updated 4 years ago
- Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.☆90Updated 11 months ago
- CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)☆282Updated last year
- Mean-Shifted Contrastive Loss for Anomaly Detection (AAAI 2023)☆118Updated 11 months ago
- Repository for the Explainable Deep One-Class Classification paper☆232Updated last year
- Variational AutoEncoder + ResNet Transfer Learning☆230Updated 2 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆56Updated 6 years ago
- Generative Probabilistic Novelty Detection with Adversarial Autoencoders☆130Updated 4 years ago
- A Variational Autoencoder based on the ResNet18-architecture☆120Updated 6 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆142Updated 2 years ago
- Pytorch implementation of "Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery"☆65Updated 5 years ago
- PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation (CVPR 2021)☆93Updated 11 months ago
- Repository for the paper "Rethinking Assumptions in Anomaly Detection"☆36Updated last year
- Anomaly detection for images☆13Updated 5 years ago
- ☆66Updated 5 years ago
- UnOfficial PyTorch Implementation of OCGAN!☆30Updated 5 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆267Updated 4 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆54Updated 2 years ago
- Official code for 'Deep One-Class Classification via Interpolated Gaussian Descriptor' [AAAI 2022 Oral]☆66Updated 2 years ago
- Generalizing to unseen domains via distribution matching☆72Updated 4 years ago
- PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Gene…☆90Updated 3 years ago
- Unofficial PyTorch implementation for f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks.☆35Updated 3 years ago
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆69Updated 4 years ago
- Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020☆50Updated 4 years ago
- ShellingFord221 / My-implementation-of-What-Uncertainties-Do-We-Need-in-Bayesian-Deep-Learning-for-Computer-VisionPytorch implementation of classification task in What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision (simple vers…☆79Updated 4 years ago
- Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"☆82Updated last year
- Discriminative Feature Alignment for Unsupervised Domain Adaptation☆69Updated 4 years ago
- Robust Out-of-distribution Detection in Neural Networks☆73Updated 3 years ago