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library implements every biologically-plausible learning rule that actually works, plus a full HDC (Hyperdimensional Computing) layer for classification
Python 11
This repo is a system for evaluating SNNs and HDC systems, and an open-source registry of benchmarks.
Python 9
FPGA-accelerated event-based normal flow estimation and real-time collision avoidance for drones — 100Hz end-to-end with microsecond latency.
Torchhd is a Python library for Hyperdimensional Computing and Vector Symbolic Architectures
SWIR hyperspectral sensing for denied-environment ISR and materials discrimination. UAV-mounted 400-2500 nm imaging with edge-deployed CNN/SNN inference for contaminant detection and terrain/materials characterization in austere, offline environments.
Rust writer + nginx + SQLite triangle handles ingestion and retrieval so the compute nodes never touch drive selection logic.
library implements every biologically-plausible learning rule that actually works, plus a full HDC (Hyperdimensional Computing) layer for classification
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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