liuem607 / expVAELinks
Visually Explainable VAE
☆64Updated 5 years ago
Alternatives and similar repositories for expVAE
Users that are interested in expVAE are comparing it to the libraries listed below
Sorting:
- ☆156Updated last year
- SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]☆138Updated 4 years ago
- A simple and effective method for single-class classification of images☆161Updated 4 years ago
- Repository for the paper "Rethinking Assumptions in Anomaly Detection"☆36Updated 2 years ago
- Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.☆90Updated last year
- CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)☆284Updated 2 years ago
- Repository for the Explainable Deep One-Class Classification paper☆237Updated 2 years ago
- Generative Probabilistic Novelty Detection with Adversarial Autoencoders☆131Updated 5 years ago
- Mean-Shifted Contrastive Loss for Anomaly Detection (AAAI 2023)☆117Updated last year
- Variational AutoEncoder + ResNet Transfer Learning☆233Updated 3 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆270Updated 4 years ago
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆71Updated 4 years ago
- Generalizing to unseen domains via distribution matching☆73Updated 5 years ago
- Pytorch implementation of "Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery"☆67Updated 5 years ago
- Prior Generating Networks for Anomaly Detection☆14Updated 5 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆58Updated 7 years ago
- ☆151Updated 3 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆147Updated 2 years ago
- Anomaly detection for images☆13Updated 6 years ago
- Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"☆82Updated last year
- PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Gene…☆92Updated 3 years ago
- The official code of Relevance-CAM☆45Updated last year
- Discriminative Feature Alignment for Unsupervised Domain Adaptation☆69Updated 4 years ago
- ☆68Updated 6 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
- Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.☆143Updated last year
- UnOfficial PyTorch Implementation of OCGAN!☆30Updated 6 years ago
- This is a PyTorch implementation of the Unsupervised Domain Adaptation method proposed in the paper Deep CORAL: Correlation Alignment for…☆59Updated 7 years ago
- Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020☆50Updated 4 years ago
- PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation (CVPR 2021)☆96Updated last year