#Correlation
Showing 18 of 18 repositories tagged #correlation, ranked by stars
HOMER - 100% Open-Source SIP, VoIP, RTC Packet Capture & Monitoring
Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.
Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models
Digital Image Correlation Engine (DICe): a stereo DIC application that runs on Mac, Windows, and Linux
Digital Image Correlation & Digital Volume Correlation Library
Everything is Linkable
Correlation of observability signals.
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 complete Sigma detection engineering toolkit: parser, linter, evaluator, correlation engine, conversion framework, streaming daemon, MCP and LSP servers :crab:
Find relevant incidents, logs, events, and alerts to all of your incidents. [Attack Flows, Attack Chains, & Root Cause Discovery - NO LLMs, NO Queries, Just Explainable Machine Learning] >> Use it for free here: https://app.cypienta.io
Error propagation and statistical analysis for Monte Carlo simulations in lattice QCD and statistical mechanics using autograd.
Jupyter notebooks and Python code for analyzing air quality (fine particle, PM2.5)
Exploratory analysis, visualization of stock market data along with predictions made on it using different techniques.
Data analysis of Starcraft II replays . Visualization and classification models
Understand the relationships between various features in relation with the sale price of a house using exploratory data analysis and statistical analysis. Applied ML algorithms such as Multiple Linear Regression, Ridge Regression and Lasso Regression in combination with cross validation. Performed parameter tuning, compared the test scores and suggested a best model to predict the final sale price of a house. Seaborn is used to plot graphs and scikit learn package is used for statistical analysis.
Parallel correlation calculation of big numpy arrays or pandas dataframes with NaNs and infs.
Data preprocessing is a data mining technique that involves transforming raw data into an understandable format.
IDPS-ESCAPE: Intrusion Detection and Prevention System - Enhanced Security through a Cooperative Anomaly Prediction Engine. SOAR via a Risk-aware Anomaly Detection-based Automated Response (RADAR) subsystem and a deep learning-based AD subsystem (SONAR), integrated with Wazuh, Flowintel, Suricata