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This repository provides a collection of machine learning-based nodes designed to enhance the rigging and animation workflows in Autodesk Maya. Aimed at educators, developers, and artists, it offers practical examples of integrating machine learning techniques into Maya's environment to streamline various processes.
Each node is designed with simplicity in mind, focusing on practical use cases such as linear regression, PCA for blendshapes, and other useful applications for rigging and animation. The goal is to provide a framework for experimentation, learning, and extending the capabilities of Maya through machine learning.
Explore the nodes, contribute, or customize them for your own projects to enhance your Maya workflows with the power of machine learning!
This project is open-source and licensed under the MIT License.
If you encounter issues or have suggestions, feel free to create an issue on GitHub or contact me directly on Blue Sky