最近發佈

Support TLSv1.2 later.

This is the calculater that 'whole given input and whole deterministic calculated output'-made series invariant. This program inputs such data series, then, output invariant structure subtracted data series. Bug reports are still welcomed.

Generic predictor that not depends on data itself. This suppose original function is continuous one to reduce per frequency error, but we can use as this continuous condition : the original function is lebesgue integrable and has no statistical illegal values on them. Bug reports are welcomed.

This program is aiming to be one of complement libraries for ongoing graphics tools and machine learnings. Bug reports are welcomed.

Get mother wavelet from seriarized data. This aims to implement simpler machine learning method, but, the aim is so far from this implement itself only.

Categorizer and learner on supposed vector series. Bug reports are welcomed.

Complement document and program to generic-p0 and generic-p1 to predict serialized data. Bug reports are welcomed.

Today is the day! — Nitrux 1.5.1 is available to download

We are pleased to announce the launch of Nitrux 1.5.1. This new version brings together the latest software updates, bug fixes, performance improvements, and ready-to-use hardware support.

Nitrux 1.5.1 is available for immediate download.