170 Open source projects that are alternatives of or similar to EVT

A quick and dirty vehicle speed detector using video + anomaly detection

Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

🌐📈 Automatically bump up global Jest thresholds whenever coverage goes above them

PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation (CVPR 2021)

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

fast implementation of singular spectrum transformation (change point detection algorithm)

基于智能计算框架nupic的异常检测restful Api.

Anomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.

Industrial knn-based anomaly detection for images. Visit streamlit link to check out the demo.

https://events.kaspersky.com/hackathon/

Implementation of feature engineering from Feature engineering strategies for credit card fraud

The Kubervisor allow you to control which pods should receive traffic or not based on anomaly detection.It is a new kind of health check system.

POSIX Shell script to easily control brightness on backlight-controllers.

Supplementary material for IJCNN paper "XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning"

Custom modules for i3blocks status bar

Official PyTorch implementation of the paper “Explainable Deep Few-shot Anomaly Detection with Deviation Networks”, weakly/partially supervised anomaly detection, few-shot anomaly detection, image defect detection.

anomaly detection with anomalize and Google Trends data

Sherlock is an anomaly detection service built on top of Druid

Benchmark for DeepLearning anomaly detection

IPCCC 2018: Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder

Mean-Shifted Contrastive Loss for Anomaly Detection

No description or website provided.

benfordslaw is about the frequency distribution of leading digits.

Code for reproducing f-AnoGAN in Pytorch

[ti]ny [li]ttle machine learning [tool]box - Machine learning, anomaly detection, one-class classification, and structured output prediction

Parses Windows event logs files based on SANS Poster

This is the code for the paper nemed 'Anomaly Detection for Hyperspectral Imagery Based on the Regularized Subspace Method and Collaborative Representation'

⭐ An anomaly-based intrusion detection system.

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

An R package for space-time anomaly detection using scan statistics.

Official pytorch implementation of the paper: "A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection"

Threat Detection & Anomaly Detection rules for popular open-source components

Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)

ADRepository: Real-world anomaly detection datasets

The collection of pre-trained, state-of-the-art AI models for ailia SDK

Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection

Library for processing and manipulating images.

Deploying a Batch Scoring Pipeline for Python Models

A Ruby implementation of Threshold Secret Sharing (Shamir) as defined in IETF Internet-Draft draft-mcgrew-tss-03.txt

Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning

Code for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' [MICCAI 2021]

Official codes for CVPR2021 paper "MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection"

Interactive Visualization to Build, Train and Test an Autoencoder with Tensorflow.js

MemStream: Memory-Based Streaming Anomaly Detection

anomaly detection by one-class SVM

Implementation of the famous Image Manipulation\Forgery Detector "ManTraNet" in Pytorch

Edition Visualization Technology 2 - development

Official source code of "Fast Adaptive RNN Encoder-Decoder for Anomaly Detection in SMD Assembly Machine"

Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Workshop on Anomaly Detection in Finance that will walk you through the detection of interpretable accounting anomalies using adversarial autoencoder neural networks. The majority of the lab content is based on J…

OpenSnitch is a GNU/Linux application firewall

TOD: GPU-accelerated Outlier Detection via Tensor Operations

The Combined Anomalous Object Segmentation (CAOS) Benchmark

Feature Space Singularity for Out-of-Distribution Detection. (SafeAI 2021)

Resources for working with time series and sequence data

CSS complexity linter

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

Supplementary material for KDD 2018 workshop "DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles"

A repository for code accompanying the manuscript 'An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series' (published at TNNLS)

Digital Cell Sorter (DCS): single cell RNA-seq analysis toolkit. Documentation:

Official code for 'Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning' [ICCV 2021]