redx94/Dynamic-Neural-Network-Refinement
Dynamic Neural Network Refinement (DNNR) is an advanced framework that allows neural networks to adapt in real time. Unlike static systems, DNNR refines network parameters on-the-fly to optimize performance. Its modularity ensures easy customization for versatile applications.
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2
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Language
Python
License
AGPL-3.0
Category
Last pushed
Mar 09, 2026
Commits (30d)
0
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