68 Open Source Correlation Software Projects
Free and open source correlation code projects including engines, APIs, generators, and tools.
Correlationid 461 ⭐
An ASP.NET Core middleware component which synchronises a correlation ID for cross API request logging.
Audionetwork 176 ⭐
Feature Selection For Machine Learning 232 ⭐
Methods with examples for Feature Selection during Pre-processing in Machine Learning.
Dicengine Dice 186 ⭐
Digital Image Correlation Engine (DICe): a stereo DIC application that runs on Mac, Windows, and Linux
Django Guid 191 ⭐
Inject an ID into every log message from a Django request. ASGI compatible, integrates with Sentry, and works with Celery
Treecorr 83 ⭐
Code for efficiently computing 2-point and 3-point correlation functions. For documentation, go to
Starcraft_2_data_analysis 20 ⭐
Data analysis of Starcraft II replays . Visualization and classification models
Stock_prediction 12 ⭐
💲entiment Analysis of Tweets & predicting Stock 💹 prices based on user sentiments about # Amazon
Corbinian 14 ⭐
CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations
Vip32 Naos 16 ⭐
A mildly opiniated modern cloud service architecture blueprint + reference implementation
Servicestack Request Correlation 12 ⭐
A plugin for ServiceStack that creates a correlation id that allows requests to be tracked across multiple services
Deepgcca Pytorch 25 ⭐
An implementation of Deep Generalized Canonical Correlation Analysis (DGCCA or Deep GCCA) with pytorch.
Machine Learning For Asset Managers 116 ⭐
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.
Msda 39 ⭐
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
Tuneta 40 ⭐
Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models
Opencorr 29 ⭐
An open source C++ library for development of 2D, 3D/stereo and volumetric digital image correlation
Ztrimus Stock Market Analysis 14 ⭐
Exploratory analysis, visualization of stock market data along with predictions made on it using different techniques.
Image2cad 15 ⭐
An application to translate raster image of CAD drawing sheet to a user editable DXF format.
Correlationlayer 14 ⭐
Pure Pytorch implementation of Correlation Layer that commonly used in learning based optical flow estimator
Gesture Recognition With Android Gyroscope Sensor 14 ⭐
Gesture recognition with Android (Gyroscope Sensor)
Infotopopy 14 ⭐
computes most of information functions (joint entropy, conditional, mutual information, total correlation information distance) and deep information networks
Nancorrmp 12 ⭐
Parallel correlation calculation of big numpy arrays or pandas dataframes with NaNs and infs.
Network Based Intrusion Detection Systems 11 ⭐
Final Year project based upon Network Intrusion Detection System
Stock Market Analysis With Python 11 ⭐
Performing the Financial Analysis on Historic Stock Market Data such as calculating various risks, returns,etc.
Overwatch_player_da 10 ⭐
Data Analysis and Machine Learning with Python: EDA with ECDF and ANOVA, Correlation and Regression analysis, Data standardisation and Feature engineering, Support Vector Regression with scikit-learn including model selection, grid search and feature importance.
Heal Research Vstat 10 ⭐
SIMD-enabled descriptive statistics (mean, variance, covariance, correlation)
Capstoneproject_house_prices_prediction 10 ⭐
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.