Kernel Packages

kernellauncher

simple 1D kernel density estimation (KDE) with gaussian and triangular kernels

JupJS is a Javascript kernel for the Jupyter notebook designed for Machine Learning

Highly customizable 1D cellular automata, shared env, multiple rules, arbitrary sized/shaped neighborhoods, short term memory, cell states etc.

Extensible bitmap image convolution, kernel presets, normal map & image pyramid generation

Extensible image dithering w/ various algorithm presets

Here are the static assets needed to run the client/preview.

Here are the static assets needed to run the client/preview.

kernel for nvue

Compute Weisfeiler-Lehman labels of a graph

sflow is a powerful and highly-extensible library designed for processing and manipulating streams of data effortlessly. Inspired by the functional programming paradigm, it provides a rich set of utilities for transforming streams, including chunking, fil

Type-safety piping paradigram through webstream-kernels.

Sofill 内核适用于思源笔记 siyuan-note ，并为汐洛 Sillot 提供额外支持

Incomplete beta function and its first derivative.

Inverse incomplete beta function.

Compute the cosine of a double-precision floating-point number on [-π/4, π/4].

Compute log(1+f) - f for 1+f in ~[sqrt(2)/2, sqrt(2)].

Compute the sine of a double-precision floating-point number on [-π/4, π/4].

Compute the tangent of a double-precision floating-point number on [-π/4, π/4].