aidinattar/snn
Implementation of Spiking Neural Networks (SNNs) using SpykeTorch, featuring STDP and R-STDP training methods for efficient neural computation.
This project helps machine learning researchers explore and build Spiking Neural Networks (SNNs), which are a type of AI that mimics how the human brain processes information. You can input various image datasets and configurations, then train SNN models using advanced learning rules like STDP and R-STDP, receiving trained models and performance metrics. It's designed for AI researchers and neuro-inspired computing enthusiasts who want to experiment with more biologically realistic neural networks.
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Use this if you are a researcher or advanced practitioner interested in building and experimenting with Spiking Neural Networks for energy-efficient AI and brain-inspired computing.
Not ideal if you are looking for a plug-and-play solution for common deep learning tasks without delving into the specifics of SNN architecture and training.
Stars
10
Forks
4
Language
Python
License
MIT
Category
Last pushed
Nov 12, 2024
Commits (30d)
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