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Search: pytorch-spiking

Page 4

Showing 4 results from 34

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anatoli-starostin/spiky

GitHub Jupyter Notebook MIT License

An experimental CUDA-enabled, PyTorch-compatible Python library inspired by the Spiking Manifesto (E. Izhikevich), implementing differentiable lookup tables as a simple instrument to model spike polychronization.

โ˜… 16 Forks 1 anatoli-starostin Updated 13 Jun 2026
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anglyan/spikingtorch

GitHub Python Other

A pytorch implementation of spiking neural networks and backpropagation through spikes

โ˜… 13 Forks 2 anglyan Updated 04 Feb 2026
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ChenxiangMA/STDL

GitHub Python

PyTorch implementation of the paper "Spatio-Temporal Decoupled Learning for Spiking Neural Networks"

โ˜… 12 Forks 1 ChenxiangMA Updated 18 May 2026
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shilpakancharla/snn-networking

GitHub Python

Neuromorphic computing is a new technology which uses very-large-scale integration (VLSI) systems containing electrical analogs that mimic neurobiological structures. Such technology can be simulated using the Python framework snnTorch, a derivative of the deep learning framework PyTorch that has... Read more

โ˜… 12 Forks 4 shilpakancharla Updated 23 May 2026
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Showing first 34 accessible GitHub results.