MVTec-Anomaly-DetectionThis project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.
Stars: ✭ 161 (+187.5%)
CurveAn Integrated Experimental Platform for time series data anomaly detection.
Stars: ✭ 408 (+628.57%)
SpectralPython module for hyperspectral image processing
Stars: ✭ 290 (+417.86%)
LoghubA large collection of system log datasets for AI-powered log analytics
Stars: ✭ 551 (+883.93%)
SyntheticSunSyntheticSun is a defense-in-depth security automation and monitoring framework which utilizes threat intelligence, machine learning, managed AWS security services and, serverless technologies to continuously prevent, detect and respond to threats.
Stars: ✭ 49 (-12.5%)
EVT使用极端值理论(Extreme Value Theory)实现阈值动态自动化设置
Stars: ✭ 48 (-14.29%)
Hastic ServerHastic data management server for analyzing patterns and anomalies from Grafana
Stars: ✭ 292 (+421.43%)
scanstatisticsAn R package for space-time anomaly detection using scan statistics.
Stars: ✭ 41 (-26.79%)
Deep Learning For HackersMachine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
Stars: ✭ 586 (+946.43%)
DgfraudA Deep Graph-based Toolbox for Fraud Detection
Stars: ✭ 281 (+401.79%)
LoglizerA log analysis toolkit for automated anomaly detection [ISSRE'16]
Stars: ✭ 785 (+1301.79%)
MerlionMerlion: A Machine Learning Framework for Time Series Intelligence
Stars: ✭ 2,368 (+4128.57%)
WdbgarkWinDBG Anti-RootKit Extension
Stars: ✭ 450 (+703.57%)
Junos monitoring with healthbotHealthbot configuration examples. Scripts to manage Healthbot. Closed loop automation. Healthbot building blocks description and troubleshooting guide
Stars: ✭ 17 (-69.64%)
khiva-rubyHigh-performance time series algorithms for Ruby
Stars: ✭ 27 (-51.79%)
MIST VADOfficial codes for CVPR2021 paper "MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection"
Stars: ✭ 52 (-7.14%)
LogparserA toolkit for automated log parsing [ICSE'19, TDSC'18, DSN'16]
Stars: ✭ 620 (+1007.14%)
opensnitchOpenSnitch is a GNU/Linux application firewall
Stars: ✭ 398 (+610.71%)
Deep Svdd PytorchA PyTorch implementation of the Deep SVDD anomaly detection method
Stars: ✭ 320 (+471.43%)
PycaretAn open-source, low-code machine learning library in Python
Stars: ✭ 4,594 (+8103.57%)
az-ml-batch-scoreDeploying a Batch Scoring Pipeline for Python Models
Stars: ✭ 17 (-69.64%)
TelemanomA framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
Stars: ✭ 589 (+951.79%)
Rrcf🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
Stars: ✭ 289 (+416.07%)
Datastream.ioAn open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana
Stars: ✭ 814 (+1353.57%)
GanomalyGANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
Stars: ✭ 563 (+905.36%)
AnomalizeTidy anomaly detection
Stars: ✭ 263 (+369.64%)
Awesome AiopsAIOps学习资料汇总,欢迎一起补全这个仓库,欢迎star
Stars: ✭ 931 (+1562.5%)
PyodA Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
Stars: ✭ 5,083 (+8976.79%)
ThioThio - a playground for real-time anomaly detection
Stars: ✭ 38 (-32.14%)
Getting Things Done With PytorchJupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
Stars: ✭ 738 (+1217.86%)
outliertree(Python, R, C++) Explainable outlier/anomaly detection through decision tree conditioning
Stars: ✭ 40 (-28.57%)
UgfraudAn Unsupervised Graph-based Toolbox for Fraud Detection
Stars: ✭ 38 (-32.14%)
PyAnomalyUseful Toolbox for Anomaly Detection
Stars: ✭ 95 (+69.64%)
Outlier ExposureDeep Anomaly Detection with Outlier Exposure (ICLR 2019)
Stars: ✭ 343 (+512.5%)
Faster-Grad-CAMFaster and more precisely than Grad-CAM
Stars: ✭ 33 (-41.07%)
Ad examplesA collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
Stars: ✭ 641 (+1044.64%)
mtad-gat-pytorchPyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).
Stars: ✭ 85 (+51.79%)
DeepadotsRepository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
Stars: ✭ 335 (+498.21%)
DCSOSupplementary material for KDD 2018 workshop "DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles"
Stars: ✭ 20 (-64.29%)
LuminolAnomaly Detection and Correlation library
Stars: ✭ 888 (+1485.71%)
LuminaireLuminaire is a python package that provides ML driven solutions for monitoring time series data.
Stars: ✭ 316 (+464.29%)
mvts-ano-evalA repository for code accompanying the manuscript 'An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series' (published at TNNLS)
Stars: ✭ 26 (-53.57%)
AdtkA Python toolkit for rule-based/unsupervised anomaly detection in time series
Stars: ✭ 615 (+998.21%)
Ano pred cvpr2018Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018
Stars: ✭ 309 (+451.79%)
Anomaly detectionThis 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.
Stars: ✭ 50 (-10.71%)
Machine Failure DetectionPCA and DBSCAN based anomaly and outlier detection method for time series data.
Stars: ✭ 32 (-42.86%)
T BearDetect EEG artifacts, outliers, or anomalies using supervised machine learning.
Stars: ✭ 6 (-89.29%)
MidasAnomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.
Stars: ✭ 591 (+955.36%)
SkylineAnomaly detection
Stars: ✭ 303 (+441.07%)