somepago / AMALinks
The official codebase for Unsupervised Anomaly Detection with Adversarial Mirrored AutoEncoders paper (UAI'21).
☆16Updated 4 years ago
Alternatives and similar repositories for AMA
Users that are interested in AMA are comparing it to the libraries listed below
Sorting:
- Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.☆90Updated last year
- Companion code for the self-supervised anomaly detection algorithm proposed in the paper "Detecting Anomalies within Time Series using Lo…☆16Updated 4 years ago
- Code of the paper 'Neural Transformation Learning for Anomaly Detection' published in ICML 2021☆49Updated 3 years ago
- This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.☆40Updated 4 years ago
- Robust Subspace Recovery Layer for Unsupervised Anomaly Detection☆37Updated 5 years ago
- Deep distance-based outlier detection published in KDD18: Learning representations specifically for distance-based outlier detection. Few…☆48Updated 5 years ago
- Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection☆65Updated 5 years ago
- SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]☆138Updated 4 years ago
- Coder of the paper 'Latent Outlier Exposure for Anomaly Detectin with Contaminated Data' published in ICML 2022☆40Updated 3 years ago
- Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and featu…☆43Updated 5 years ago
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆71Updated 4 years ago
- ☆65Updated 4 years ago
- A Python Package for Deep Imbalanced Learning☆56Updated 5 months ago
- ☆156Updated last year
- Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)☆61Updated 2 years ago
- [ICDM 2020] Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning☆56Updated 2 years ago
- A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.☆350Updated 3 years ago
- ☆29Updated 4 years ago
- This repository contains the codes to reproduce the results of our proposed novelty detection algorithm based on adversarially robust aut…☆19Updated 2 years ago
- ☆41Updated 2 years ago
- Multi-class Data Description for Out-of-distribution Detection☆21Updated 4 years ago
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆30Updated 4 years ago
- ☆91Updated 4 years ago
- Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)☆44Updated 3 years ago
- Variational autoencoder for anomaly detection (in PyTorch).☆47Updated 6 years ago
- Visually Explainable VAE☆64Updated 4 years ago
- Repository for the paper "Rethinking Assumptions in Anomaly Detection"☆36Updated 2 years ago
- Codebase for the paper "Adversarial Attacks on Time Series"☆24Updated 6 years ago
- Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning☆48Updated 4 years ago
- A list of all papers related to anomaly detection in NeurIPS 2020.☆10Updated 4 years ago