Architecture Modification / Research · Python
celiumsnn
Mycelium: a verification-first spiking network derived from the CeliumNeUR chip constraint set — bit-exact to silicon-verified RTL, ternary block-sparse, learned-then-frozen topology
What it is
The repository implements Mycelium, a verification-first spiking neural network architecture derived from the constraint set of the CeliumNeUR neuromorphic chip. It features integer LIF neurons, block-sparse synapses with ternary weights, and L0 topology learning, validated on Spiking Heidelberg Digits and DVS-Gesture datasets.
- block-sparse
- edge-ai
- hardware-verification
- neuromorphic-computing
- pytorch
- quantization
- snntorch
- spiking-neural-networks
- ternary-weights
- tinyml
Where it counts
- Machine Learning90%
- Computer Vision20%
- Data Science10%
- MLOps10%
How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.
Around it on the Machine Learning board
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