Simple functions for simulating Poisson Processes, Brownian motion, geometric Brownian motion, discrete/continuous-time Markov chains, and normal random variables

Incrementally perform binary classification using stochastic gradient descent (SGD).

Components for generating random data series based on stochastic processes

Online regression via stochastic gradient descent (SGD).

MCP server for stochastic algorithms and probabilistic decision making

Library code for stochastic groove application

A stochastic process mining utility and library

Three.js Gaussian Splatting renderer with WebGPU/WebGL2, GPU sorting, streaming LOD, stochastic and depth rendering, and high-precision GIS/ECEF support. Supports PLY, SPZ, SOG and RAD.

Pure, zero-dependency P&C actuarial math for TypeScript: reserving, generalized definition-driven diagnostics, trends, limits, discounting, and seeded stochastic methods with published-value validation.

This package is created to bring closer the stochastic calculus in Typescript.

Round using stochastic rounding

MCP server combining systematic thinking, mental models, debugging approaches, and stochastic algorithms for comprehensive cognitive pattern support

A stochastic markup language

Typed hex geometry plus embeddable binary, k-state, stochastic, and HCP cellular-automaton engines, rendering, and solid export

Components for generating random data series based on stochastic processes

Streaming SVM trainer that uses stochastic gradient descent

MCP server for stochastic algorithms and probabilistic decision making

MCP server combining systematic thinking, mental models, debugging approaches, and stochastic algorithms for comprehensive cognitive pattern support

Haybarn extension 'stochastic' for linux/x64 (glibc). Built against haybarn 1.5.4. Installed automatically by the @haybarn/ext-stochastic-h1-5-4 meta-package; use that, not this leaf, in your dependencies.

Haybarn extension 'stochastic' for win32/x64. Built against haybarn 1.5.4. Installed automatically by the @haybarn/ext-stochastic-h1-5-4 meta-package; use that, not this leaf, in your dependencies.