251 Open source projects that are alternatives of or similar to Curve

Hastic data management server for analyzing patterns and anomalies from Grafana

Tidy anomaly detection

Faster and more precisely than Grad-CAM

ADRepository: Real-world anomaly detection datasets

Unsupervised Anomaly Detection with Generative Adversarial Networks on MIAS dataset

🚦Bash script to generate a static status page.

Official codes for CVPR2021 paper "MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection"

Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.

Contains the thorough experiments made for a FloydHub article on Anomaly Detection

A clustered video stream is an AWS architecture that increases the quality and reliability of live events by providing seamless regional failover capabilities for live video steams. Operators can monitor the status of the clustered stream from a single pane of glass and dynamically control from which region the stream consumed by a player origin…

Deploying a Batch Scoring Pipeline for Python Models

This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.

🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

A simpe react app that plots a live view of the T-Mobile Home Internet Nokia 5G Gateway signal stats, helpful for optimizing signal.

A PyTorch implementation of the Deep SVDD anomaly detection method

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

Machine Learning Lectures at the European Space Agency (ESA) in 2018

Supplementary material for KDD 2018 workshop "DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles"

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

Benchmark for DeepLearning anomaly detection

Continuously monitor your AWS services for configurations that can lead to degradation of confidentiality, integrity or availability. All results will be sent to Security Hub for further aggregation and analysis.

A repository for code accompanying the manuscript 'An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series' (published at TNNLS)

Scrapy Extension for monitoring spiders execution.

NewRelic drop-in replacement on top of Grafana and TimescaleDB

Implementation of the famous Image Manipulation\Forgery Detector "ManTraNet" in Pytorch

Programmatically find and read labels using Machine Learning

A thesis submitted for the degree of Master of Science in Computer Networks and Security

The offical Treblle package for Laravel

(Python, R, C++) Explainable outlier/anomaly detection through decision tree conditioning

Luminaire is a python package that provides ML driven solutions for monitoring time series data.

Useful Toolbox for Anomaly Detection

Python module for hyperspectral image processing

High-performance time series algorithms for Ruby

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

使用极端值理论(Extreme Value Theory)实现阈值动态自动化设置

Clearly see and debug your celery cluster in real time!

Linux OTF2 Sampling - A Lightweight Node-Level Performance Monitoring Tool

Unified monitoring wallboard — Light, ergonomic and reliable monitoring for anything.

dawg the hallway monitor - monitor operating system changes and analyze introduced attack surface when installing software

A Deep Graph-based Toolbox for Fraud Detection

Wigo, aka "What Is Going On" is a light pull/push monitoring tool written in Golang.

Overwatch is a general RPC monitoring system.

Tool for ROS 2 IP Discovery + System Monitoring

My awesome point cloud labeling tool

OpenSnitch is a GNU/Linux application firewall

Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018

Modern React app for bounding box annotation on mturk

This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.

An R package for space-time anomaly detection using scan statistics.

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

Anomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.

Merlion: A Machine Learning Framework for Time Series Intelligence

Lambda function to check http endpoint wrapped in serverless project

Anomaly detection

Thio - a playground for real-time anomaly detection

文件变化实时监控工具(代码审计/黑盒/白盒审计辅助工具)

📊 📊 📊 Monitors the health and web traffic of servers, microservices, and containers with real-time data monitoring and receive automated notifications over Slack or email.

Anomaly detection implemented in Keras

An open-source, low-code machine learning library in Python

SyntheticSun 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.