Marktechpost/AI-Tutorial-Codes-Included
Codes/Notebooks for AI Projects
This collection provides practical code examples and tutorials for building various AI applications, from intelligent agents that automate tasks to systems for computer vision and natural language processing. It helps AI/ML engineers, researchers, and data scientists implement and understand complex AI concepts. You'll find Jupyter notebooks and code files that demonstrate how to put AI theories into practice.
2,137 stars. Actively maintained with 83 commits in the last 30 days.
Use this if you are an AI/ML practitioner looking for hands-on examples and code to build, test, and deploy AI models and agentic systems.
Not ideal if you are a non-technical user seeking ready-to-use AI tools or a high-level overview without needing to dive into code.
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Jupyter Notebook
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Last pushed
Mar 12, 2026
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83
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