nolancacheux/AI-ML-Implementations

Comprehensive AI/ML toolkit with practical algorithms across supervised/unsupervised learning and neural networks. Complete examples of classification, regression, clustering, CNNs, autoencoders with code.

29
/ 100
Experimental
No Package No Dependents
Maintenance 10 / 25
Adoption 3 / 25
Maturity 16 / 25
Community 0 / 25

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3

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Language

Jupyter Notebook

License

MIT

Category

learning-resources-collections

Last pushed

Feb 13, 2026

Commits (30d)

0

GitHub
Learning Resources Collections · 237 frameworks

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