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Lesson material on data science and machine learning topics/concepts
Ruby gem for some statistical operations without any statistical language dependency
🚀 A library designed to facilitate work with probability, statistics and stochastic calculus
PHP implementation of statistical probability distributions: normal distribution, beta distribution, gamma distribution and more.
An expressive crystal implementation of statistical distributions and usual math functions. 📊
1D Wasserstein Statistical Loss in Pytorch
Field Guide to Continuous Probability Distributions by Gavin E. Crooks
Fortran Statistics and Machine Learning Library
A DuckDB extension that add comprehensive statistical distribution functions to DuckDB, enabling advanced statistical analysis, probability calculations, and random sampling directly within SQL queries.
This repository contains a solutions for the exercises in the "Math Concepts For Developers" course at SoftUni .
A series of crash courses offered at multiple core modules at the Departments of Economics and Industrial Engineering at the University of Tehran.
Extreme value statistics
A library to fit the data with multiple fitters.
HydroPortail statistical functions - Fonctions statistiques de l'HydroPortail
Location Scale Invariant Distributions
Simple python package for performing complex mathematical operations, statistical distributions and data visualization. Package distributed on PyPi
Python 3 tkinter graphical statistical distributions fitting application. Allows multiple selection of over 85 statistical distributions from scipy.stats, saves results to PDF
Mann Whitney U Test Implementation
Fit powerlaw distributions with a maximum-likelihood fitting procedure
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