Lesson material on data science and machine learning topics/concepts
-
Updated
May 27, 2021 - Jupyter Notebook
Lesson material on data science and machine learning topics/concepts
PHP implementation of statistical probability distributions: normal distribution, beta distribution, gamma distribution and more.
Ruby gem for some statistical operations without any statistical language dependency
🚀 A library designed to facilitate work with probability, statistics and stochastic calculus
1D Wasserstein Statistical Loss in Pytorch
This repository contains a solutions for the exercises in the "Math Concepts For Developers" course at SoftUni .
An expressive crystal implementation of statistical distributions and usual math functions. 📊
Spatial Statistics module. Deals with the calculation of spatial statistics under variety of scenarios and definitions.
Mann Whitney U Test Implementation
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
Fit powerlaw distributions with a maximum-likelihood fitting procedure
Creating a project to implement various statistical distributions and methods in Python
Field Guide to Continuous Probability Distributions by Gavin E. Crooks
DsFeatFreqDist – Dataset Feature-Frequency Distributions Fitting
Python package for performing advanced mathematical and statistical operations
An interactive web app to explore some common probability distributions.
HydroPortail statistical functions - Fonctions statistiques de l'HydroPortail
Extreme value statistics
Add a description, image, and links to the statistical-distributions topic page so that developers can more easily learn about it.
To associate your repository with the statistical-distributions topic, visit your repo's landing page and select "manage topics."