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django-guid

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

treecorr

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

ggca

Blazing fast Gene/GEM Correlation Analysis for Rust and Python

yet-another-wizz

Implementation of the Schmidt et al. (2013) clustering redshift method.

pyerrors

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

spatial-correlation-sampler

Custom implementation of Corrleation Module

tuneta

Optimize financial technical indicators for machine learning

conaction

A package for studying how things change together.

icsdll

Interface to the image correlation spectroscopy library ICSx64.dll.

bindata

Generation of correlated artificial binary data - a replication of the omonymous R library

correlation-clustering

A python implementation of Correlation Clustering

data-science-utils

Data Science Utils extends the Scikit-Learn API and Matplotlib API to provide simple methods that simplify tasks and visualizations for data science projects.

malaffinity

Archived. Visit `erkghlerngm44/aniffinity` for new package.

copent

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

correlation

Calculate the confidence intervals of correlation coeficients

xmca

Maximum Covariance Analysis in Python

heatmapz

Create heatmaps with shapes and size as a parameter

snha4py

St. Nicholas House algorithm for Python

infotopo

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

rdc-correlate

Correlates Kohler RDC TLV wire protocol against Rehlko cloud API to verify and discover parameter mappings.

pypair

Pairwise association measures of statistical variable types

korr

collection of utility functions for correlation analysis

nancorrmp

A multiprocessing version of pandas correlation method

msda

MSDA - An open source, low-code time-series multi-sensor data analysis, unsupervised feature selection, deep unsupervised anomaly detection & explainable time-series predictor library in Python.