WdbgarkWinDBG Anti-RootKit Extension
Stars: ✭ 450 (+265.85%)
Deep Svdd PytorchA PyTorch implementation of the Deep SVDD anomaly detection method
Stars: ✭ 320 (+160.16%)
Junos monitoring with healthbotHealthbot configuration examples. Scripts to manage Healthbot. Closed loop automation. Healthbot building blocks description and troubleshooting guide
Stars: ✭ 17 (-86.18%)
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 (+376.42%)
DgfraudA Deep Graph-based Toolbox for Fraud Detection
Stars: ✭ 281 (+128.46%)
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 (-59.35%)
MlA high-level machine learning and deep learning library for the PHP language.
Stars: ✭ 1,270 (+932.52%)
Hastic ServerHastic data management server for analyzing patterns and anomalies from Grafana
Stars: ✭ 292 (+137.4%)
LoglizerA log analysis toolkit for automated anomaly detection [ISSRE'16]
Stars: ✭ 785 (+538.21%)
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 (+380.49%)
MerlionMerlion: A Machine Learning Framework for Time Series Intelligence
Stars: ✭ 2,368 (+1825.2%)
Repo 2017Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano
Stars: ✭ 1,123 (+813.01%)
LoghubA large collection of system log datasets for AI-powered log analytics
Stars: ✭ 551 (+347.97%)
PysadStreaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)
Stars: ✭ 87 (-29.27%)
CurveAn Integrated Experimental Platform for time series data anomaly detection.
Stars: ✭ 408 (+231.71%)
Machine Failure DetectionPCA and DBSCAN based anomaly and outlier detection method for time series data.
Stars: ✭ 32 (-73.98%)
DeepaiDetection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.
Stars: ✭ 104 (-15.45%)
SkylineAnomaly detection
Stars: ✭ 303 (+146.34%)
T BearDetect EEG artifacts, outliers, or anomalies using supervised machine learning.
Stars: ✭ 6 (-95.12%)
SpectralPython module for hyperspectral image processing
Stars: ✭ 290 (+135.77%)
SurpriverFind big moving stocks before they move using machine learning and anomaly detection
Stars: ✭ 1,152 (+836.59%)
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 (+30.89%)
AdtkA Python toolkit for rule-based/unsupervised anomaly detection in time series
Stars: ✭ 615 (+400%)
ThioThio - a playground for real-time anomaly detection
Stars: ✭ 38 (-69.11%)
Anomaly DetectionA machine learning plugin in Open Distro for Elasticsearch for real time anomaly detection on streaming data.
Stars: ✭ 65 (-47.15%)
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 (+378.86%)
GanomalyGANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
Stars: ✭ 563 (+357.72%)
FcddRepository for the Explainable Deep One-Class Classification paper
Stars: ✭ 56 (-54.47%)
PyodA Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
Stars: ✭ 5,083 (+4032.52%)
Skip GanomalySource code for Skip-GANomaly paper
Stars: ✭ 107 (-13.01%)
UgfraudAn Unsupervised Graph-based Toolbox for Fraud Detection
Stars: ✭ 38 (-69.11%)
Outlier ExposureDeep Anomaly Detection with Outlier Exposure (ICLR 2019)
Stars: ✭ 343 (+178.86%)
BayesloopProbabilistic programming framework that facilitates objective model selection for time-varying parameter models.
Stars: ✭ 87 (-29.27%)
DeepadotsRepository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
Stars: ✭ 335 (+172.36%)
Awesome AiopsAIOps学习资料汇总,欢迎一起补全这个仓库,欢迎star
Stars: ✭ 931 (+656.91%)
LuminaireLuminaire is a python package that provides ML driven solutions for monitoring time series data.
Stars: ✭ 316 (+156.91%)
Pytorch cppDeep Learning sample programs using PyTorch in C++
Stars: ✭ 114 (-7.32%)
Ano pred cvpr2018Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018
Stars: ✭ 309 (+151.22%)
LuminolAnomaly Detection and Correlation library
Stars: ✭ 888 (+621.95%)
PycaretAn open-source, low-code machine learning library in Python
Stars: ✭ 4,594 (+3634.96%)
SentinlKibana Alert & Report App for Elasticsearch
Stars: ✭ 1,233 (+902.44%)
Rrcf🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
Stars: ✭ 289 (+134.96%)
Datastream.ioAn open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana
Stars: ✭ 814 (+561.79%)
Keras Oneclassanomalydetection[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.
Stars: ✭ 102 (-17.07%)
AnomalizeTidy anomaly detection
Stars: ✭ 263 (+113.82%)
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 (+500%)
TimecopTime series based anomaly detector
Stars: ✭ 65 (-47.15%)
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 (+421.14%)
ForemastForemast adds application resiliency to Kubernetes by leveraging machine learnt patterns of application health to keep applications healthy and stable
Stars: ✭ 115 (-6.5%)
GpndGenerative Probabilistic Novelty Detection with Adversarial Autoencoders
Stars: ✭ 112 (-8.94%)
Coursera Ml PyPython programming assignments for Machine Learning by Prof. Andrew Ng in Coursera
Stars: ✭ 1,140 (+826.83%)
LogparserA toolkit for automated log parsing [ICSE'19, TDSC'18, DSN'16]
Stars: ✭ 620 (+404.07%)