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Spiking-Neural-Network-Accelerator-for-FPGA
Spiking-Neural-Network-Accelerator-for-FPGA Publiclibrary implements every biologically-plausible learning rule that actually works, plus a full HDC (Hyperdimensional Computing) layer for classification
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evaluations
evaluations PublicThis repo is a system for evaluating SNNs and HDC systems, and an open-source registry of benchmarks.
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Hyperspectral C(S)NN for soil chemistry prediction. This system processes drone-captured spectral data to estimate soil composition and is used to contract farms and optimize industrial material production.
Enotrium/Icarus’s past year of commit activity - .github Public
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Enotrium/Tyrn-Gorthad’s past year of commit activity - Low-SWaP-Edge-ISR Public
The event-driven SNN on FPGA consumes power __only when spikes occur__ — critical for battery-constrained platforms.
Enotrium/Low-SWaP-Edge-ISR’s past year of commit activity - Spiking-Neural-Network-Accelerator-for-FPGA Public
library implements every biologically-plausible learning rule that actually works, plus a full HDC (Hyperdimensional Computing) layer for classification
Enotrium/Spiking-Neural-Network-Accelerator-for-FPGA’s past year of commit activity - Nazgul Public
Nazgul is a unified C++/Python framework for time-optimal multi-joint trajectory planning (inherited from LongTermPlanner) and edge-efficient hyperdimensional computing (imported from Arthedain), providing a VSA backend factory with 8 algebras, HDC energy analysis at 45nm CMOS
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