Intrusion-Detection-System-Using-Machine-Learning

@Western-OC2-Lab

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

MIT Commit 6 maanden geleden ★ 597

Pijlers en weging

Soevereiniteit 30%48

Onderhoud 25%79

Beveiliging 20%geen gedetecteerd

Adoptie 15%33

Open standaarden 10%0

Waarom deze score

MIT (permissive)
Last commit 178 days ago
Top 67% by stars in Security & Identity::Zero Trust Security

Feiten

Licentie: MIT (Permissief)
Taal: Jupyter Notebook
GitHub-sterren: 597
Laatste commit: 2026-04-01 (6 maanden geleden)
Laatste release: Onbekend
OpenSSF Scorecard: Nog niet gemeten
Zelf hosten: Niet vastgesteld
Maintainer-locatie: Onbekend
Bron: github-search

Alternatieven in Machine-learning-frameworks

marimo

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

78 02

netdata

The fastest path to AI-powered full stack observability, even for lean teams.

76 03

scikit-learn

scikit-learn: machine learning in Python

75 04

marqo

Ecommerce Search and Discovery - marqo.ai