kernelize.md

name	description	url	logo	locations	consortium	featured
Kernelize	Kernelyze has developed a novel approximation of two-variable functions that achieves the smallest possible worst-case error among all rank-n approximations.	https://github.com/kernelyze/kernelyze-base	users/kernelyze-llc-logo.png	United States	true	false

Kernelyze has developed a novel approximation of two-variable functions that achieves the smallest possible worst-case error among all rank-n approximations.