Top 667 statistics open source projects

Machine learning and scientific computing (linear algebra, statistics, optimization) javascript libraries, with an online lab.

A Toolkit for Interactive Statistical Data Visualization

Iterative unfolding for Python

Misc Statistics and Machine Learning codes in R

The sample question for Interview a job in Binary options

COVID-19 statistics in Taiwan

EGAP methods guides

Tools for reading SDMX data and metadata in R

College football database - data store for all sorts of data and statistics pertaining to college football

This repository contains all the materials of the Machine Learning course that is held in Faculty of Computers and Information Sciences - Ain Shams University. Provided by acmASCIS Student Chapter.

Software for learning sparse Bayesian networks

NBA Daily Fantasy Lineup Optimizer for FanDuel Using Python

The VBA toolbox

Machine Learning Research

Statistical functions based on bootstrapping for computing confidence intervals and p-values comparing machine learning models and human readers

Statistical Rethinking course in pymc3

simplex problem calculator

An R package for large scale estimation with stochastic gradient descent

Catalogue of resources (R/Python/SQL/SAS/Stata/...) to reproduce the results of Eurostat Statistics Explained articles

Python based Wikidata framework for easy dataframe extraction

R package for fitting joint models to time-to-event data and multivariate longitudinal data

Data Science lab materials for CDLE

National Football League Module for MagicMirror²

Easy way to make a sparkline graph in web

Exercises, data, and more for our 2017 summer workshop (funded by the Estes Fund and in partnership with Project Jupyter and Berkeley's D-Lab)

Website analytics, JavaScript error tracking + analytics, tag manager, data ingest endpoint creation (tracking pixels). GDPR + CCPA compliant.

command line bioinformatic scripts written in R

A purely-functional random number generator framework designed for F#

Python machine learning package based on sklearn API for multivariate data processing and statistical analysis of symmetric positive definite matrices via Riemannian geometry

🎯 📕 Targeted Learning in R: A Causal Data Science Handbook

Generating stats from the raw Hacktoberfest application data.

📃 Duino-Coin (DUCO) network statistics & explorer website

📈 Ventib records your voice, transcribes it in realtime, and performs speech pattern analysis to give you objective statistics about how you speak.

Compositional data analysis in Julia

Python package designed for collecting and processing trajectory data.

Advanced .NET math library (.NET Standard).

Online R learning for applied statistics

Adaptive, interpretable wavelets across domains (NeurIPS 2021)

Render tokei's output to interactive sunburst chart.

Connectivity algorithms that leverage the MNE-Python API.

keep track of hls viewer stats

Interactive tutorials developed with the learnr package supporting the textbook OpenIntro::Introduction to Modern Statistics.

Yii2 Multi Web Statistic Module (yametrika, google-analytic, own db-counter)

Computationally efficient confidence intervals for cross-validated AUC estimates in R

Multivariate kernel density estimation

Track translations and automate workflow.

Kernel density estimators for Julia

Lesson material on data science and machine learning topics/concepts

⏰📊✨Laravel Time Series - Provides an API to create and maintain data projections (statistics, aggregates, etc.) from your Eloquent models, and convert them to time series.

Bungee/Spigot plugin to send stats to a InfluxDB to be displayed by a Grafana instance.

An experiment with stats, the Ruby way

Scientific and statistical computing with Rust.

Standalone Blazer app ⚡

My collection of causal inference algorithms built on top of accessible, simple, out-of-the-box ML methods, aimed at being explainable and useful in the business context

Monitor the stability of a Pandas or Spark dataframe ⚙︎

📈📄👀A lookup repo for a variety of discrete and continuous distributions (incl. Beta, Binomial, Cauchy, Chi-squared, Geometric, Hypergeometric, Normal & Poisson)

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

A dynamically generated activity graph to show your GitHub activities of last 31 days.

Barabási–Albert Network. A Step-by-Step Model with Visualizations created in Python 3.

Mathematical preliminaries for machine learning