liuem607 / expVAE
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
- Repository for the paper "Rethinking Assumptions in Anomaly Detection"☆35Updated last year
- Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.☆89Updated 8 months ago
- SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]☆136Updated 3 years ago
- ☆155Updated 10 months ago
- A simple and effective method for single-class classification of images☆160Updated 3 years ago
- A Variational Autoencoder based on the ResNet18-architecture☆119Updated 6 years ago
- Repository for the Explainable Deep One-Class Classification paper☆227Updated last year
- Anomaly detection for images☆13Updated 5 years ago
- Prior Generating Networks for Anomaly Detection☆14Updated 4 years ago
- PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation (CVPR 2021)☆92Updated 8 months ago
- Pytorch implementation of "Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery"☆61Updated 4 years ago
- Mean-Shifted Contrastive Loss for Anomaly Detection (AAAI 2023)☆119Updated 8 months ago
- Code for ECCV 2020 paper "Backpropagated Gradient Representations for Anomaly Detection"☆29Updated 4 years ago
- CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)☆281Updated last year
- Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020☆49Updated 3 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆266Updated 3 years ago
- Variational AutoEncoder + ResNet Transfer Learning☆229Updated 2 years ago
- Generative Probabilistic Novelty Detection with Adversarial Autoencoders☆129Updated 4 years ago
- Generalizing to unseen domains via distribution matching☆70Updated 4 years ago
- ☆51Updated 2 years ago
- TensorFlow 2 implementation of the paper Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution …☆45Updated 3 years ago
- Official code for 'Deep One-Class Classification via Interpolated Gaussian Descriptor' [AAAI 2022 Oral]☆65Updated last year
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆69Updated 4 years ago
- Coder of the paper 'Latent Outlier Exposure for Anomaly Detectin with Contaminated Data' published in ICML 2022☆40Updated 2 years ago
- The official codebase for Unsupervised Anomaly Detection with Adversarial Mirrored AutoEncoders paper (UAI'21).☆16Updated 3 years ago
- Code of the paper 'Neural Transformation Learning for Anomaly Detection' published in ICML 2021☆42Updated 2 years ago
- Differentiable Data Augmentation Library☆123Updated 2 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆136Updated last year
- PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Gene…☆90Updated 3 years ago
- code for "DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification"☆50Updated 6 years ago