ajayarunachalam/pynmsnn
NeuroMorphic Predictive Model with Spiking Neural Networks (SNN) using Pytorch
This library helps data scientists build predictive models for classification and regression tasks using Spiking Neural Networks (SNNs), which mimic biological brain activity more closely than traditional neural networks. You provide your dataset, and it outputs a trained SNN model ready for deployment. This is ideal for data scientists, researchers, and consultants looking to quickly prototype and experiment with neuromorphic computing models.
No commits in the last 6 months. Available on PyPI.
Use this if you are a data scientist or researcher looking for a low-code Python solution to quickly build and test neuromorphic predictive models for classification or regression problems.
Not ideal if you need a solution for standard deep learning problems where the unique time-based spiking behavior of SNNs is not a specific requirement.
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Last pushed
Sep 28, 2022
Commits (30d)
0
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