un package avec suites mathematiques
Streaming Markdown V2 plugin suite (math, MDX, tables, callouts, footnotes, HTML helpers)
Geospatial classes
Sun classes
Array-based 3D Math Classes optimized for WebGL applications
TypeScript types for math.gl
Utilities for perspective-enabled Web Mercator projections
Polygon/polyline processing utilities
ES Math-related intrinsics and helpers, robustly cached.
Culling Functionality for 3D Classes
Array-based 3D Math Classes optimized for WebGL applications
mdast extension to parse and serialize math
micromark extension to support math (`$C_L$`)
Proj4js wrapper for conversion between geospatial CRS (coordinate reference systems)
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.
Simple tests for math taks.
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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