Spam classifier in Go using Naive Bayes
In plain words
This is a spam classification tool built in Go that uses Naive Bayes machine learning to identify unwanted messages. It's designed for developers who need to filter spam from legitimate content in their applications. The project provides a straightforward implementation of the Naive Bayes algorithm, making it suitable for those building email systems, chat applications, or other platforms requiring automated message filtering.
written from the facts on this page · September 2026
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Hi HN, I built Eigendrum, a web tool that solves the 2D wave equation for arbitrary shapes so you can hear what they sound like as drums. How it works: * Solves -∇²u = λu using finite element analysis (Kφ = λMφ) on a triangle mesh. * Validated to <0.1% error against closed-form solutions for circles (Bessel zeros) and rectangles. * Sound model factors in strike location, Rayleigh damping, and mallet width. * Includes Kac drums I & II to demonstrate identical sound spectra from different geometries. * No frameworks, build steps, or dependencies. Repo and tests:…
Life & fun · 26d ago · baselashraf81.github.io
Launched alongside, November 2025
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