5 Must-Know Machine Learning Libraries on GitHub; One is a Must-Learn
Last Updated on July 18, 2023 by Editorial Team
Author(s): Anil Tilbe
Originally published on Towards AI.
The most important machine learning libraries on GitHub for simple, efficient, and accurate modeling

By Pro Church Media from Unsplash
5 Must-Know Machine Learning Libraries on Github; One is a Must-Learn
I have probably “stars” on more packages on GitHub than most of you. If a model, program, or entity does not exist on GitHub, then I would venture to say they are either in the test phase or actually do not exist. It is inevitable that you will utilize GitHub, whether it be to submit solutions for an interview while you are in academia or definitely for professional implementations.
GitHub provides a platform for developers to reveal code to teammates and users; there are myriad repositories… Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Towards AI Academy
We Build Enterprise-Grade AI. We'll Teach You to Master It Too.
15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.
Start free — no commitment:
→ 6-Day Agentic AI Engineering Email Guide — one practical lesson per day
→ Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages
Our courses:
→ AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.
→ Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.
→ AI for Work — Understand, evaluate, and apply AI for complex work tasks.
Note: Article content contains the views of the contributing authors and not Towards AI.