214 Open source projects that are alternatives of or similar to Midas

Resources for working with time series and sequence data

Anomaly detection implemented in Keras

Digital Cell Sorter (DCS): single cell RNA-seq analysis toolkit. Documentation:

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

⭐ An anomaly-based intrusion detection system.

WinDBG Anti-RootKit Extension

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

Merlion: A Machine Learning Framework for Time Series Intelligence

anomaly detection with anomalize and Google Trends data

SQL powered operating system instrumentation, monitoring, and analytics.

Feature coded UNSW_NB15 intrusion detection data.

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.

Mean-Shifted Contrastive Loss for Anomaly Detection

A large collection of system log datasets for AI-powered log analytics

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

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

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

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

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

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

PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation (CVPR 2021)

Malicious traffic detection system

Network Intrusion Detection System using Deep Learning Techniques

Useful Toolbox for Anomaly Detection

Supplementary material for IJCNN paper "XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning"

Anomaly detection

Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)

Faster and more precisely than Grad-CAM

The collection of pre-trained, state-of-the-art AI models for ailia SDK

Machine 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)

基于智能计算框架nupic的异常检测restful Api.

A HIDS (host-based intrusion detection system) for verifying the integrity of a system.

Sandfly Security Agentless Compromise and Intrusion Detection System For Linux

psad: Intrusion Detection and Log Analysis with iptables

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

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

Interactive Visualization to Build, Train and Test an Autoencoder with Tensorflow.js

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

anomaly detection by one-class SVM

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

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

Hastic data management server for analyzing patterns and anomalies from Grafana

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…

Benchmark for DeepLearning anomaly detection

TOD: GPU-accelerated Outlier Detection via Tensor Operations

By Kprobe technology Open Source Host-based Intrusion Detection System(HIDS), from E_Bwill.

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

Detect and warn about suspicious IPs logging into Nextcloud

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

Python module for hyperspectral image processing

Monitor network traffic per executable using BPF

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

Python toolbox for transfer learning.

OSSEC is an Open Source Host-based Intrusion Detection System that performs log analysis, file integrity checking, policy monitoring, rootkit detection, real-time alerting and active response.

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

A 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.

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

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

Security Onion 16.04 - Linux distro for threat hunting, enterprise security monitoring, and log management