There are 2 repositories under statistical-distributions topic.
Lesson material on data science and machine learning topics/concepts
Ruby gem for some statistical operations without any statistical language dependency
PHP implementation of statistical probability distributions: normal distribution, beta distribution, gamma distribution and more.
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
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
HydroPortail statistical functions - Fonctions statistiques de l'HydroPortail
Mann Whitney U Test Implementation
Extreme value statistics
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.
Spatial Statistics module. Deals with the calculation of spatial statistics under variety of scenarios and definitions.
Explore common probability distributions with this interactive dashboard.
StatsPykage is an open source Python package for analysing standard statistical distributions: Gaussian, Binomial, Poisson etc. distributions; hosted on PyPi.org
DsFeatFreqDist – Dataset Feature-Frequency Distributions Fitting
Command line tool to calculate different dice outcome distributions.
This repository contains the topics that were taught in the coursera course Applied Plotting, Charting & Data Representation in Python, it contains the assignments as well.
Python package created for calculating Statistical distribution and deployed on PyPi successfully. This Statstical distribution package have classes for Gaussian and Binomial distributions inherited from a General distributions class.
Creating a project to implement various statistical distributions and methods in Python
An interactive web app to explore some common probability distributions.