Lesson material on data science and machine learning topics/concepts
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Updated
May 27, 2021 - Jupyter Notebook
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.
A library to fit the data with multiple fitters.
HydroPortail statistical functions - Fonctions statistiques de l'HydroPortail
Location Scale Invariant Distributions
Python 3 tkinter graphical statistical distributions fitting application. Allows multiple selection of over 85 statistical distributions from scipy.stats, saves results to PDF
Simple python package for performing complex mathematical operations, statistical distributions and data visualization. Package distributed on PyPi
Mann Whitney U Test Implementation
Extreme value statistics
Fit powerlaw distributions with a maximum-likelihood fitting procedure
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