dfdazac/studious-rotary-phone

A collection of notebooks on AI and some artifacts

28
/ 100
Experimental

This collection offers practical examples and explanations of various artificial intelligence concepts. It provides accessible demonstrations of how AI methods work, using notebooks as input and producing clear insights into techniques like reinforcement learning and deep generative models. It's ideal for students, researchers, or practitioners looking to understand the fundamentals of AI without diving deep into complex mathematical proofs.

No commits in the last 6 months.

Use this if you want to explore and understand core artificial intelligence algorithms through practical, runnable examples.

Not ideal if you're looking for a production-ready AI solution or a library to integrate into an application.

Artificial Intelligence Education Machine Learning Concepts Reinforcement Learning Deep Learning Examples Data Science Learning
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 8 / 25

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8

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1

Language

Jupyter Notebook

License

MIT

Last pushed

Aug 08, 2020

Commits (30d)

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