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.

A set of data tools in Python

Inject an ID into every log message from a Django request. ASGI compatible, integrates with Sentry, and works with Celery

Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

Custom implementation of Corrleation Module

Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in Python

An application to translate raster image of CAD drawing sheet to a user editable DXF format.

[ICCV'21 Oral] High-Resolution Optical Flow from 1D Attention and Correlation

Code for efficiently computing 2-point and 3-point correlation functions. For documentation, go to

Find relevant incidents, logs, events, and alerts to all of your incidents. [Attack Flow & Root Cause Discovery - NO LLMs, NO Queries, Just Explainable Machine Learning]

Maximum Covariance Analysis in Python

A Python cross correlation command line tool for unevenly sampled time series

Error propagation and statistical analysis for Monte Carlo simulations in lattice QCD and statistical mechanics using autograd.

computes most of information functions (joint entropy, conditional, mutual information, total correlation information distance) and deep information networks

A tiny package to compute the dynamics of stochastic and molecular simulations

Perform statistics on Mixpanel API data

Data science common method for python

Parallel correlation calculation of big numpy arrays or pandas dataframes with NaNs and infs.

Pairwise association measures of statistical variable types

System Processes Correlation Engine