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This repository provides Python implementations of exercises from the book 'An Introduction to Statistical Learning'.
A curated collection of research papers on decision, classification and regression trees with implementations.
A collection of data science related questions and answers for developers.
High-performance machine learning algorithms with 2-2000x speed and 50% less memory usage for all hardware.
Powerful math library for PHP with features like statistics, probability distributions, linear algebra, and more.
This is a course repository for the Statistical Rethinking course in R, not a developer discovery platform.
An R package for Bayesian data analysis and statistical rethinking.
Lightweight Nginx access log analysis and visualization panel with real-time statistics, PV filtering, and IP/client parsing.
Turing.jl is a powerful Bayesian inference library for probabilistic programming in the Julia language.
A TypeScript library that generates a dynamic GitHub activity graph to display your recent contributions.
A comprehensive compendium of resources for machine learning and deep learning development.
ggstatsplot is an R library that enhances ggplot2 visualizations with statistical analysis and hypothesis testing.
A collection of notes and Python implementations of statistical learning methods.
This is a set of notes and exercise attempts for the book 'An Introduction to Statistical Learning'.
Open source time series library for Python, useful for statistical analysis and modeling.
A Python scraper for extracting data from Facebook Page posts for statistical analysis.
Framework for collecting and analyzing prediction market data with comprehensive Polymarket/Kalshi datasets.
Crafty statistical graphics library for the Julia programming language
HOMER is an open-source SIP, VoIP, and RTC packet capture and monitoring tool for developers and network administrators.
GPflow is a Gaussian processes library built on top of TensorFlow, providing tools for Bayesian machine learning.
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