LogparserA toolkit for automated log parsing [ICSE'19, TDSC'18, DSN'16]
Stars: ✭ 620 (-21.02%)
Logdeeplog anomaly detection toolkit including DeepLog
Stars: ✭ 125 (-84.08%)
LoghubA large collection of system log datasets for AI-powered log analytics
Stars: ✭ 551 (-29.81%)
Log3cLog-based Impactful Problem Identification using Machine Learning [FSE'18]
Stars: ✭ 131 (-83.31%)
DeepadotsRepository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
Stars: ✭ 335 (-57.32%)
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 (-79.49%)
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 (-93.76%)
outliertree(Python, R, C++) Explainable outlier/anomaly detection through decision tree conditioning
Stars: ✭ 40 (-94.9%)
khiva-rubyHigh-performance time series algorithms for Ruby
Stars: ✭ 27 (-96.56%)
Ano pred cvpr2018Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018
Stars: ✭ 309 (-60.64%)
Faster-Grad-CAMFaster and more precisely than Grad-CAM
Stars: ✭ 33 (-95.8%)
DgfraudA Deep Graph-based Toolbox for Fraud Detection
Stars: ✭ 281 (-64.2%)
LnavLog file navigator
Stars: ✭ 4,032 (+413.63%)
MerlionMerlion: A Machine Learning Framework for Time Series Intelligence
Stars: ✭ 2,368 (+201.66%)
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 (-25.35%)
LuminaireLuminaire is a python package that provides ML driven solutions for monitoring time series data.
Stars: ✭ 316 (-59.75%)
PyAnomalyUseful Toolbox for Anomaly Detection
Stars: ✭ 95 (-87.9%)
SkylineAnomaly detection
Stars: ✭ 303 (-61.4%)
nginx-log-analyzerA lightweight (simplistic) log analyzer for Nginx.
Stars: ✭ 17 (-97.83%)
MIST VADOfficial codes for CVPR2021 paper "MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection"
Stars: ✭ 52 (-93.38%)
WdbgarkWinDBG Anti-RootKit Extension
Stars: ✭ 450 (-42.68%)
PycaretAn open-source, low-code machine learning library in Python
Stars: ✭ 4,594 (+485.22%)
opensnitchOpenSnitch is a GNU/Linux application firewall
Stars: ✭ 398 (-49.3%)
Outlier ExposureDeep Anomaly Detection with Outlier Exposure (ICLR 2019)
Stars: ✭ 343 (-56.31%)
AnomalizeTidy anomaly detection
Stars: ✭ 263 (-66.5%)
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 (-24.97%)
ThioThio - a playground for real-time anomaly detection
Stars: ✭ 38 (-95.16%)
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 (-18.34%)
SpellAuto extract key in log files
Stars: ✭ 20 (-97.45%)
GanomalyGANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
Stars: ✭ 563 (-28.28%)
Deep Svdd PytorchA PyTorch implementation of the Deep SVDD anomaly detection method
Stars: ✭ 320 (-59.24%)
scanstatisticsAn R package for space-time anomaly detection using scan statistics.
Stars: ✭ 41 (-94.78%)
Hastic ServerHastic data management server for analyzing patterns and anomalies from Grafana
Stars: ✭ 292 (-62.8%)
MStreamAnomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.
Stars: ✭ 68 (-91.34%)
EVT使用极端值理论(Extreme Value Theory)实现阈值动态自动化设置
Stars: ✭ 48 (-93.89%)
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 (-89.17%)
PyodA Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
Stars: ✭ 5,083 (+547.52%)
DCSOSupplementary material for KDD 2018 workshop "DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles"
Stars: ✭ 20 (-97.45%)
Psadpsad: Intrusion Detection and Log Analysis with iptables
Stars: ✭ 298 (-62.04%)
AdtkA Python toolkit for rule-based/unsupervised anomaly detection in time series
Stars: ✭ 615 (-21.66%)
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 (-96.69%)
Awesome Log AnalysisA list of awesome research on log analysis, anomaly detection, fault localization, and AIOps
Stars: ✭ 289 (-63.18%)
az-ml-batch-scoreDeploying a Batch Scoring Pipeline for Python Models
Stars: ✭ 17 (-97.83%)
ManTraNet-pytorchImplementation of the famous Image Manipulation\Forgery Detector "ManTraNet" in Pytorch
Stars: ✭ 47 (-94.01%)
Rrcf🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
Stars: ✭ 289 (-63.18%)
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 (-5.99%)
Graylog2 ServerFree and open source log management
Stars: ✭ 5,952 (+658.22%)
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 (-24.71%)