LoglizerA log analysis toolkit for automated anomaly detection [ISSRE'16]
Stars: ✭ 785 (+582.61%)
Sensu GoSimple. Scalable. Multi-cloud monitoring.
Stars: ✭ 625 (+443.48%)
FcddRepository for the Explainable Deep One-Class Classification paper
Stars: ✭ 56 (-51.3%)
Quarkus Microservices PocVery simplified shop sales system made in a microservices architecture using quarkus
Stars: ✭ 16 (-86.09%)
KubesphereThe container platform tailored for Kubernetes multi-cloud, datacenter, and edge management ⎈ 🖥 ☁️
Stars: ✭ 8,315 (+7130.43%)
AppReusable framework for micro services & command line tools
Stars: ✭ 66 (-42.61%)
BayesloopProbabilistic programming framework that facilitates objective model selection for time-varying parameter models.
Stars: ✭ 87 (-24.35%)
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 (+413.91%)
UgfraudAn Unsupervised Graph-based Toolbox for Fraud Detection
Stars: ✭ 38 (-66.96%)
Aws Xray Ts DecoratorInstrument your Typescript code with AWS X-Ray using elegant decorators
Stars: ✭ 17 (-85.22%)
HowtheysreA curated collection of publicly available resources on how technology and tech-savvy organizations around the world practice Site Reliability Engineering (SRE)
Stars: ✭ 6,962 (+5953.91%)
SurpriverFind big moving stocks before they move using machine learning and anomaly detection
Stars: ✭ 1,152 (+901.74%)
LogbookAn extensible Java library for HTTP request and response logging
Stars: ✭ 822 (+614.78%)
OpstraceSecure observability, deployed in your own network. An open source alternative to SaaS solutions like Datadog, SignalFx, ...
Stars: ✭ 743 (+546.09%)
Anomaly DetectionA machine learning plugin in Open Distro for Elasticsearch for real time anomaly detection on streaming data.
Stars: ✭ 65 (-43.48%)
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 (-9.57%)
AdtkA Python toolkit for rule-based/unsupervised anomaly detection in time series
Stars: ✭ 615 (+434.78%)
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 (+409.57%)
Skyapm DotnetThe .NET/.NET Core instrument agent for Apache SkyWalking
Stars: ✭ 1,268 (+1002.61%)
Swagger StatsAPI Observability. Trace API calls and Monitor API performance, health and usage statistics in Node.js Microservices.
Stars: ✭ 559 (+386.09%)
VectorA reliable, high-performance tool for building observability data pipelines.
Stars: ✭ 8,736 (+7496.52%)
Junos monitoring with healthbotHealthbot configuration examples. Scripts to manage Healthbot. Closed loop automation. Healthbot building blocks description and troubleshooting guide
Stars: ✭ 17 (-85.22%)
SentinlKibana Alert & Report App for Elasticsearch
Stars: ✭ 1,233 (+972.17%)
LuminolAnomaly Detection and Correlation library
Stars: ✭ 888 (+672.17%)
T BearDetect EEG artifacts, outliers, or anomalies using supervised machine learning.
Stars: ✭ 6 (-94.78%)
TimecopTime series based anomaly detector
Stars: ✭ 65 (-43.48%)
Datastream.ioAn open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana
Stars: ✭ 814 (+607.83%)
Skip GanomalySource code for Skip-GANomaly paper
Stars: ✭ 107 (-6.96%)
SignozOpen source Observability Platform. 👉 SigNoz helps developers find issues in their deployed applications & solve them quickly
Stars: ✭ 738 (+541.74%)
Coursera Ml PyPython programming assignments for Machine Learning by Prof. Andrew Ng in Coursera
Stars: ✭ 1,140 (+891.3%)
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 (+541.74%)
PysadStreaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)
Stars: ✭ 87 (-24.35%)
Sls Dev ToolsDev Tools for the Serverless World - Issues, PRs and ⭐️welcome!
Stars: ✭ 662 (+475.65%)
Repo 2017Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano
Stars: ✭ 1,123 (+876.52%)
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 (+457.39%)
LogparserA toolkit for automated log parsing [ICSE'19, TDSC'18, DSN'16]
Stars: ✭ 620 (+439.13%)
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 (-56.52%)
GraftermMetrics dashboards on terminal (a grafana inspired terminal version)
Stars: ✭ 613 (+433.04%)
MlA high-level machine learning and deep learning library for the PHP language.
Stars: ✭ 1,270 (+1004.35%)
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 (+412.17%)
CiliumeBPF-based Networking, Security, and Observability
Stars: ✭ 10,256 (+8818.26%)
ConprofContinuous profiling for performance analysis of CPU, memory over time.
Stars: ✭ 571 (+396.52%)
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 (-11.3%)
GanomalyGANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
Stars: ✭ 563 (+389.57%)
Machine Failure DetectionPCA and DBSCAN based anomaly and outlier detection method for time series data.
Stars: ✭ 32 (-72.17%)
LoghubA large collection of system log datasets for AI-powered log analytics
Stars: ✭ 551 (+379.13%)
CloudproberAn active monitoring software to detect failures before your customers do.
Stars: ✭ 1,269 (+1003.48%)
Awesome AiopsAIOps学习资料汇总,欢迎一起补全这个仓库,欢迎star
Stars: ✭ 931 (+709.57%)
Pytorch cppDeep Learning sample programs using PyTorch in C++
Stars: ✭ 114 (-0.87%)
GpndGenerative Probabilistic Novelty Detection with Adversarial Autoencoders
Stars: ✭ 112 (-2.61%)
HubbleHubble - Network, Service & Security Observability for Kubernetes using eBPF
Stars: ✭ 1,245 (+982.61%)
Epsagon GoAutomated tracing library for Go 1.x ⚡️
Stars: ✭ 24 (-79.13%)