# guillaume-chevalier/Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP

<https://repo.masters-masters.com/en/repos/guillaume-chevalier/Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP>

[Home](https://repo.masters-masters.com/en) › [guillaume-chevalier](https://repo.masters-masters.com/en/owners/guillaume-chevalier) › [Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP](https://repo.masters-masters.com/en/repos/guillaume-chevalier/Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP)

guillaume-chevalier/Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP has 279 stars on GitHub. Its RepoMasters card: Alpha tier.

| Field | Value |
| --- | --- |
| Owner | [guillaume-chevalier](https://repo.masters-masters.com/en/owners/guillaume-chevalier) |
| Stars | 279 |
| Forks | 50 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2018 |
| Topics | spiking-neural-networks, neurons |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [guillaume-chevalier/Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP](https://github.com/guillaume-chevalier/Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP) |

## Repository

What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constan…

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

## More repos by guillaume-chevalier

- [guillaume-chevalier/LSTM-Human-Activity-Recognition · ★ 3,490 · Jupyter Notebook · RC](https://repo.masters-masters.com/en/repos/guillaume-chevalier/LSTM-Human-Activity-Recognition)
- [guillaume-chevalier/Awesome-Deep-Learning-Resources · ★ 1,822 · Beta](https://repo.masters-masters.com/en/repos/guillaume-chevalier/Awesome-Deep-Learning-Resources)
- [guillaume-chevalier/seq2seq-signal-prediction · ★ 1,083 · Jupyter Notebook · Beta](https://repo.masters-masters.com/en/repos/guillaume-chevalier/seq2seq-signal-prediction)
- [guillaume-chevalier/How-to-Grow-Neat-Software-Architecture-out-of-Jupyter-Notebooks · ★ 530 · Alpha](https://repo.masters-masters.com/en/repos/guillaume-chevalier/How-to-Grow-Neat-Software-Architecture-out-of-Jupyter-Notebooks)
- [guillaume-chevalier/HAR-stacked-residual-bidir-LSTMs · ★ 322 · Python · Alpha](https://repo.masters-masters.com/en/repos/guillaume-chevalier/HAR-stacked-residual-bidir-LSTMs)
- [guillaume-chevalier/Linear-Attention-Recurrent-Neural-Network · ★ 148 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/guillaume-chevalier/Linear-Attention-Recurrent-Neural-Network)

## Nearby in Jupyter Notebook

- [KAUST-Academy/2025\_Artificial-Intelligence-Summer · ★ 279 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/en/repos/KAUST-Academy/2025_Artificial-Intelligence-Summer)
- [markuskuehnle/credit-ocr-system · ★ 279 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/en/repos/markuskuehnle/credit-ocr-system)
- [walkinglabs/modern-llm-notebook · ★ 279 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/en/repos/walkinglabs/modern-llm-notebook)
- [savarin/pyconuk-introtutorial · ★ 279 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/en/repos/savarin/pyconuk-introtutorial)
- [trungtv/pyvi · ★ 279 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/en/repos/trungtv/pyvi)
- [akittas/presentations · ★ 279 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/en/repos/akittas/presentations)

---
Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
