Probability Distributions
Showing 19 of 19 projects
A comprehensive, dependency-free statistics library for Go with extensive mathematical functions and thorough testing.
A comprehensive, self-contained mathematics library for PHP with no external dependencies, covering algebra, statistics, linear algebra, and numerical analysis.
A comprehensive Go scientific library for numerical simulations, linear algebra, differential equations, and computational geometry.
A comprehensive Julia package for probability distributions, providing properties, PDFs, sampling, and maximum likelihood estimation.
A comprehensive statistical computation library for Rust, providing distributions, functions, and utilities for scientific computing.
A JAX-native library of probability distributions and bijectors, reimplementing a subset of TensorFlow Probability with emphasis on readability and extensibility.
A C++ header-only library of statistical distribution functions with compile-time computing capabilities.
A Clojure/ClojureScript library for statistical distribution sampling and transducing functions.
A scikit-learn compatible Python library for probabilistic regression, survival analysis, and probability distributions.
A Swift library providing probability distributions and statistical functions for probabilistic computing.
A JAX library for distributions, bijections, and normalizing flows implemented as Equinox modules.
Statistical functions and distributions for Elixir, including descriptive statistics and probability distributions.
A Ruby gem providing probability distributions with pure Ruby, C (GSL), and Java implementations for statistical computing.
A Go library providing idiomatic implementations of continuous and discrete probability distributions with standard statistical methods.
A Godot 3.0 library providing fast implementations of common statistical distributions for game development.
A library for probabilistic computation and visualization in Idris, leveraging functorial, applicative, and monadic structures.
OCaml bindings to special math and probability functions from the Cephes library.
A web-based tool for generating random datasets from customizable probability distributions visualized as histograms.
A Crystal library for repeatable pseudo-random sampling and CDF calculations across many probability distributions.
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