RichM1216/cs50AI
Solutions to Harvard’s CS50AI course, covering topics like search algorithms, knowledge representation, optimization, machine learning, neural networks, and natural language processing, all implemented in Python.
This collection provides practical examples of fundamental AI concepts, from search algorithms to natural language processing. It takes various inputs like movie actor names, game board states, genetic data, or website links, and produces outputs such as degrees of separation, optimal game moves, genetic probabilities, or website rankings. It is designed for students or aspiring AI practitioners who want to understand and implement AI techniques.
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Use this if you are a student or someone learning AI concepts and want to see concrete, working examples of algorithms like search, knowledge representation, and neural networks.
Not ideal if you are looking for a ready-to-use, production-grade AI application or a library to integrate into an existing system without modification.
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Aug 03, 2025
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