yacineMahdid/artificial-intelligence-and-machine-learning

A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm

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This collection of projects helps AI/ML practitioners understand and implement various artificial intelligence and machine learning algorithms from the ground up. It provides working code examples for foundational algorithms, ranging from classical search methods to deep learning components. Researchers, students, or practitioners looking to grasp the inner workings of AI/ML algorithms would find this beneficial.

186 stars. No commits in the last 6 months.

Use this if you are an AI/ML practitioner, student, or researcher who wants to learn or teach the fundamental mechanisms of AI and machine learning algorithms without relying on high-level libraries.

Not ideal if you are a practitioner looking for production-ready, highly optimized, or immediately deployable solutions for real-world business problems.

AI-education machine-learning-fundamentals algorithm-implementation deep-learning-concepts computational-neuroscience
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 24 / 25

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Stars

186

Forks

93

Language

Jupyter Notebook

License

Last pushed

Oct 22, 2024

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