Probability
Showing 18 of 18 projects
A community-driven collection of data science interview questions and answers covering theory, technical skills, and probability.
An open-source numerical library for .NET and Mono providing algorithms for scientific computing, linear algebra, statistics, and more.
A comprehensive, self-contained mathematics library for PHP with no external dependencies, covering algebra, statistics, linear algebra, and numerical analysis.
A concise mathematical reference covering essential topics in probability theory and statistics.
Python code and examples for Bayesian statistics from the book 'Think Bayes: Bayesian Statistics Made Simple'.
A Swift library providing probability tools and advanced data structures for building intelligent iOS/macOS applications.
A C++ header-only library of statistical distribution functions with compile-time computing capabilities.
A Swift library providing probability distributions and statistical functions for probabilistic computing.
A Clojure library for machine learning and statistical inference designed for production deployment and composable algorithms.
A Coq library for formally verifying probabilistic properties of hash-based approximate membership query structures like Bloom filters.
A Rocq library for formal reasoning about discrete probabilities, information theory, and linear error-correcting codes.
Provides Lua/Torch bindings for the Randomkit library, enabling random number generation from various statistical distributions.
An empirical analysis of decision weights in Prospect Theory using Amazon Mechanical Turk experiments to quantify human irrationality in probabilistic choices.
A Coq library for formal verification of randomized algorithms using a monadic probability distribution interpretation.
A TypeScript module for weighted random selection and gacha-style item rolling.
A Rust library for generating and managing dice rolls using container-like state objects.
An Elixir library for weighted random selection optimized for fast take_one and take_n operations.
A Swift playground demonstrating the counterintuitive probability solution to the Jelly Bean Problem (Monty Hall variant).
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