232 Open source projects that are alternatives of or similar to FloydHub-Anomaly-Detection-Blog

C# port of the Ruby Faker gem (http://faker.rubyforge.org/)

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

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[ti]ny [li]ttle machine learning [tool]box - Machine learning, anomaly detection, one-class classification, and structured output prediction

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ADRepository: Real-world anomaly detection datasets

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

Generate massive amounts of fake data in the browser and node.js

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https://events.kaspersky.com/hackathon/

Faker is a Nim package that generates fake data for you.

Official code for 'Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning' [ICCV 2021]

Resources for working with time series and sequence data

⭐ An anomaly-based intrusion detection system.

↪️ Bypass for PHP creates a custom HTTP Server to return predefined responses to client requests. Useful for tests with Pest PHP or PHPUnit.

Creates fake JSON files from a JSON schema

fast implementation of singular spectrum transformation (change point detection algorithm)

Useful Toolbox for Anomaly Detection

Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection

A lightweight alternative to faker.js

A tool that USES a template engine to generate data

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

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Brings the popular ruby faker gem to Java and Kotlin

Fast, concurrent fake data generator for any structure or type.

Faster and more precisely than Grad-CAM

A set of javascript packages that generates fake data for you.

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

Random data generator AKA faker

Thio - a playground for real-time anomaly detection

👓 Provides utilities for tests.

Deploying a Batch Scoring Pipeline for Python Models

🎯 Generate fake data, Just like a person.

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).

Official source code of "Fast Adaptive RNN Encoder-Decoder for Anomaly Detection in SMD Assembly Machine"

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

The Combined Anomalous Object Segmentation (CAOS) Benchmark

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

Generate fake data using joke2k's faker and your own schema

benfordslaw is about the frequency distribution of leading digits.

Implementation of feature engineering from Feature engineering strategies for credit card fraud

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

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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.

Unsupervised Anomaly Detection with Generative Adversarial Networks on MIAS dataset

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