lopezmauro/ml-example-nodes
This repository contains Python machine learning nodes for instructional use only—NOT for production. All inferences are based on pure math, with no external libraries, to help you understand the underlying algorithms step by step.
This project helps character animators and technical artists in Autodesk Maya understand how machine learning concepts like linear regression and Principal Component Analysis (PCA) work. It allows you to feed in animation data or mesh deformation information and see how these algorithms process it to predict values or create blendshapes. The intended user is someone learning the mathematical foundations of ML in a practical animation context.
No commits in the last 6 months.
Use this if you are a Maya user looking to learn and experiment with machine learning principles for animation or 3D modeling within Maya's environment.
Not ideal if you need production-ready tools for animation or rigging, as these nodes are strictly for educational purposes and not robust for real projects.
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35
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Language
Python
License
GPL-3.0
Category
Last pushed
Feb 10, 2025
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