es-ude/elastic-ai.creator
Design, train and generate neural networks optimized specifically for FPGAs.
This tool helps embedded systems engineers and hardware developers take their neural network designs and optimize them for Field-Programmable Gate Arrays (FPGAs). You input a designed and trained neural network, and it outputs VHDL code and supporting components for deployment on FPGAs. This is ideal for those working on embedded AI solutions requiring high performance and efficiency.
Use this if you need to translate neural network models into a hardware-optimized format for FPGAs, specifically targeting VHDL.
Not ideal if you need to implement complex neural network architectures with skip or residual connections, or if you require support for floating-point or binary quantization.
Stars
22
Forks
5
Language
Python
License
MIT
Category
Last pushed
Mar 18, 2026
Commits (30d)
0
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