GSoC 2026
TensorMap
This project transforms TensorMap into a complete neural network design studio by introducing a data driven layer registry, expanding support to 15 layer types, enabling real time training visualization, model export in industry standard formats, post training interpretability tools and automated hyperparameter tuning. The system will improve scalability, usability and developer productivity while allowing users to design, train, analyze and optimize models visually.
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