statistics

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

Based on my own experience, I believe this roadmap provides clear answers to all the key questions about becoming a data analyst from scratch, including which technologies and programming languages to learn, what soft skills are essential, and how to start a professional career in this field.

Player Analytics plugin for Minecraft Server platforms - View player activity of your server with ease. :calendar:

Teaching Materials for Dr. Waleed A. Yousef

Github Language Statistics

All Stanford Cheatsheets: Artificial Intelligence, Transformers, LLMs, Deep Learning, Machine Learning, Probabilities, Statistics, Algebra and Calculus.

JASP aims to be a complete statistical package for both Bayesian and Frequentist statistical methods, that is easy to use and familiar to users of SPSS

The MATLAB toolbox for MEG, EEG and iEEG analysis

:art: Visualisation toolbox for beautiful and publication-ready figures

📚 Introduction to Modern Statistics - A college-level open-source textbook with a modern approach highlighting multivariable relationships and simulation-based inference.

API Observability. Trace API calls and Monitor API performance, health and usage statistics in Node.js Microservices.

🌞 A highly customizable JavaScript library for generating interactive heatmaps. It transforms data into smooth, visually intuitive heat layers, making patterns and intensity easy to spot at a glance.

⚡ Single-pass algorithms for statistics

add statistical significance annotations on seaborn plots. Further development of statannot, with bugfixes, new features, and a different API.

🌀 What's really in your Discord Data package?

cuVS - a library for vector search and clustering on the GPU

The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.

Gramm is a complete data visualization toolbox for Matlab. It provides an easy to use and high-level interface to produce publication-quality plots of complex data with varied statistical visualizations. Gramm is inspired by R's ggplot2 library.

R Weekly

This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equity markets: Pairs Trading.

汇总统计各「大厂」的开源团队和项目。

R programming tips for data cleaning, data visualisation, statistical modelling and machine learning

scikit-mobility: mobility analysis in Python

Streamystats is a statistics service for Jellyfin, providing analytics and data visualization.

The US federal government's web traffic.

DoubleML - Double Machine Learning in Python

Learn Julia the hard way!

Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python

jamovi - open software to bridge the gap between researcher and statistician