Normally distributed pseudorandom numbers using the Box-Muller transform.

TypeScript definitions for sparql-http-client

Pure double-double precision functions *with strict error bounds*.

Javascript Implementation of Statistical R standalone library rnmath

Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution using the Box-Muller transform.

Create an iterator for generating pseudorandom numbers drawn from a standard normal distribution using the Box-Muller transform.

Small, no dependency library for offsetting polygons. Heavily based on this [CodePen](https://codepen.io/HansMuller/pen/lDfzt) by Hans Muller.

Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution using the Box-Muller transform.

HQC KEM (NIST PQC) for Node.js

TypeScript definitions for express-as-promise

Box-Muller normal distribution generator

Swiss Style / International Typographic design skill for AI coding agents — grid systems, typographic hierarchy, asymmetric composition, and whitespace as material

Machine Learning Utility Functions

Substring token search

Generate Japanese dictionary SQLite database from open source materials

Ｄｏｗｎｌｏａｄ ｅｂｏｏｋ ｐｄｆ ｍｏｂｉ ｅｐｕｂ Olivier Muller & Anne Didier Anatole Latuile, Tome 09 is available now

Node.js bindings for SoulX-Singer-DiT GGUF inference (no dequantization, via modified llama.cpp)

Modern arbitrary-precision arithmetic library using floating-point expansions.

generate gaussian noise

yur87r