A utility library for calculating musical information e.g. a note from a frequency
ES Math-related intrinsics and helpers, robustly cached.
Music metadata parser for Node.js, supporting virtual any audio and tag format.
micromark extension to support math (`$C_L$`)
mdast extension to parse and serialize math
remark plugin to parse and stringify math
Math and string formula parser.
rehype plugin to transform inline and block math with KaTeX
Math and string formula parser.
JavaScript utilities with respect to emerging standard
math-random is an isomorphic, drop-in replacement for `Math.random` that uses cryptographically secure random number generation, where available
Experimental math classes for loaders.gl
A flexible math expression evaluator
C APIs for registering a Node-API module exporting an interface for invoking a binary numerical function.
C APIs for registering a Node-API module exporting an interface for invoking a unary numerical function.
Test if a double-precision floating-point numeric value is NaN.
Geospatial classes
Collection of math utilities
Geometry util
Unofficial YouTube Music API for Node.js
Parse math interval
Multiply a double-precision floating-point number by an integer power of two.
Test if a double-precision floating-point numeric value is infinite.
Compute the absolute value of a double-precision floating-point number.
Peas defines constants from music theory and allows one to perform math with them. Currently supports pitches (as MIDI values), pitch classes, and intervals using semitones, wholetones, chromatic, latin or diatonic abbreviations.
Music Coder is a music programming library. It generates music entirely through code in the chosen programming language (Ruby). There are three main reasons a technically minded person would use Music Coder: Producing music: Write scripts that mimic human creativity, and put some randomness in it, giving you a program that can generate aesthetically pleasing music that is completely unique in each file generated. Scientific exploration: Use the functions in Music Coder to concisely apply algorithms or math to the structure and properties of sound. Making samples: create samples or sections of music that are too complex to be done by hand in graphical audio programs such as Ableton.
Using this package, you can do powerful pattern recognition easily from your shell command line using a simple suite of tools. Applications include music cateogrization, text classification, handwritten digit recognition, and evolutionary tree reconstruction. The technique is based on a very general theoretical notion of Kolmogorov Complexity, and so is undoubtedly applicable to many as yet unknown disciplines. See the webpage for research papers explaining the math behind these techniques.
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