444 Open source projects that are alternatives of or similar to sherlock

A 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.

Anomaly detection

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

Time series based anomaly detector

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.

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

Hastic data management server for analyzing patterns and anomalies from Grafana

Kibana Alert & Report App for Elasticsearch

Hastic data management server for labeling patterns and anomalies in Grafana

InfluxDB Processors For Apache NiFi

Covid19 timeseries data store

一个简洁的官网

thinkphp 5 redis读写分离驱动

A Gem for AlphaVantage

Pursuit Core Android

some anomaly detection models and experiments.

Machine learning for beginner(Data Science enthusiast)

Java Client for RedisTimeSeries

Main component extraction for outlier detection

Python toolbox for transfer learning.

Prometheus remote write proxy that adds Cortex tenant ID based on metric labels

Python application to write stock security data to a MongoDB Cluster. Supports a variable amount of stocks, variable amount of time and can write to a MongoDB time-series collection

学习笔记

A Python library for anomaly detection

druid

Code for reproducing f-AnoGAN in Pytorch

anomaly detection by one-class SVM

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

Python client for Finnhub API

The Kubervisor allow you to control which pods should receive traffic or not based on anomaly detection.It is a new kind of health check system.

redis proxy、ssdb proxy（使用脚本控制sharding)

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

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

A Redis Replication Cluster accessible through HAProxy running across a Docker Composed-Swarm with Supervisor and Sentinel

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

A Julia package for generating timeseries surrogates

springboot学习示例

R Interface for InfluxDB

No description or website provided.

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

Code for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' [MICCAI 2021]

Prometheus remote storage adapter for RedisTimeSeries

Climate science package for Julia

InfluxDB 2.0 Ruby Client

Roll a window over data; apply a function over the window.

Tools for reading SDMX data and metadata in R

The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks

A scikit-learn compatible library for anomaly detection

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…

extract internal monitoring data from application logs for collection in a timeseries database

Implementation of graphite API (graphite-web) in golang

微信小程序+微信管理后台+微信用户前台

Predict time-series with one line of code.

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

A high performance data logging and graphing system for time series data.

A friendly package for Kepler & TESS time series analysis in Python.

🎉 (RuoYi)官方仓库 基于SpringBoot，Spring Security，JWT，Vue & Element 的前后端分离权限管理系统

Twitter's Anomaly Detection in Pure Python

fastai V2 implementation of Timeseries classification papers.