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. 📊
Field Guide to Continuous Probability Distributions by Gavin E. Crooks
1D Wasserstein Statistical Loss in Pytorch
This repository contains a solutions for the exercises in the "Math Concepts For Developers" course at SoftUni .
Location Scale Invariant Distributions
HydroPortail statistical functions - Fonctions statistiques de l'HydroPortail
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
Extreme value statistics
Mann Whitney U Test Implementation
Explore common probability distributions with this interactive dashboard.
Spatial Statistics module. Deals with the calculation of spatial statistics under variety of scenarios and definitions.
A series of practical, sufficient, and to-the-point crash courses offered at the University of Tehran, mostly for Economics students with no prior programming background.
StatsPykage is an open source Python package for analysing standard statistical distributions: Gaussian, Binomial, Poisson etc. distributions; hosted on PyPi.org
Python package for performing advanced mathematical and statistical operations
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