M
MLAlgorithms
rushter/MLAlgorithms
Minimal and clean examples of machine learning algorithms implementations
★11.2kstars
Python
MIT
Updated: 1d ago
📋 Project at a Glance
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What's this?A deep-learning/machine-learning tool in the Learning & Resources category, built with Python, open-source
Who made it?Maintained by rushter team, 11.2K⭐ on GitHub, #240 out of 3640 in Learning & Resources
Why does it exist?In the Learning & Resources space, deep-learning workflows faced efficiency bottlenecks. MLAlgorithms was built by rushter to address these machine-learning challenges.
What can it do?Key use cases: machine-learning-algorithms, neural-networks
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/rushter/MLAlgorithms
🔗 github.com/rushter/MLAlgorithms
Topics
deep-learningmachine-learningmachine-learning-algorithmsneural-networkspython