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numpy-ml
ddbourgin/numpy-ml
Machine learning, in numpy
★16.3kstars
Python
GPL-3.0
Updated: Today
📋 Project at a Glance
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What's this?A attention/bayesian-inference tool in the Learning & Resources category, built with Python, open-source
Who made it?Maintained by ddbourgin team, 16.3K⭐ on GitHub, #176 out of 3640 in Learning & Resources
Why does it exist?As the Learning & Resources landscape evolved, the ddbourgin team identified the need for better attention solutions. numpy-ml was created to simplify bayesian-inference workflows.
What can it do?Key use cases: gaussian-mixture-models, gaussian-processes, good-turing-smoothing
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/ddbourgin/numpy-ml | 官网 https://numpy-ml.readthedocs.io/
🔗 github.com/ddbourgin/numpy-ml | 官网 https://numpy-ml.readthedocs.io/
Topics
attentionbayesian-inferencegaussian-mixture-modelsgaussian-processesgood-turing-smoothinggradient-boostinghidden-markov-modelsknnlstmmachine-learningmfccneural-networksreinforcement-learningresnettopic-modelingvaewavenetwgan-gpword2vec