Sparse-SNN

Sparse-SNN is an in-browser spiking neural network classifier inspired by connectome statistics from Drosophila. It features a sparse architecture with 5% connection density, uses LIF neurons, and classifies drawn digits or fashion images with event-driven additions. It aims to demonstrate energy-efficient neural computation using surrogate gradients and runs fully via ONNX Runtime Web.