168 Open source projects that are alternatives of or similar to ADRepository-Anomaly-detection-datasets

Find big moving stocks before they move using machine learning and anomaly detection

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(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)

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

Anomaly detection library based on singular spectrum transformation(sst)

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

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

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Pytorch Implementation of DeepLog.

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Anomaly detection for temporal data using LSTMs

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Hastic data management server for labeling patterns and anomalies in Grafana

Mean-Shifted Contrastive Loss for Anomaly Detection

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

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

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

Resources for working with time series and sequence data

Anomaly detection for streaming time series, featuring automated model selection.

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

STUMPY is a powerful and scalable Python library for modern time series analysis

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

An End-to-end Outlier Detection System

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

Real-World Anomaly Detection in Surveillance Videos

VisualQC : assistive tool to ease the quality control workflow of neuroimaging data.

BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics

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…

The Combined Anomalous Object Segmentation (CAOS) Benchmark

Repository for detecting outliers using Grubb's Threshold & Generalized Extreme Studentized Deviate (ESD) Test

A Python library for anomaly detection

This is a times series anomaly detection algorithm, implemented in Python, for catching multiple anomalies. It uses a moving average with an extreme student deviate (ESD) test to detect anomalous points.

CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)

⭐ An anomaly-based intrusion detection system.

Source code for Skip-GANomaly paper

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

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

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

Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch

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

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

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Kibana Alert & Report App for Elasticsearch

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An Unsupervised Graph-based Toolbox for Fraud Detection

Time series based anomaly detector

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A machine learning plugin in Open Distro for Elasticsearch for real time anomaly detection on streaming data.

A Ground Mobile Robot Perception Dataset, IEEE RA-L & IEEE T-CYB

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Benchmark for DeepLearning anomaly detection

OpenSnitch is a GNU/Linux application firewall

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

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

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