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19 search results found

Spikingjelly ⭐ 1,123

SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

Deep learning with spiking neural networks (SNNs) in PyTorch.

Snn_toolbox ⭐ 293

Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.

Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration

Nengo Dl ⭐ 77

Deep learning integration for Nengo

Deep learning for spiking neural networks

Awesome Spiking Neural Networks ⭐ 43

A paper list of spiking neural networks, including papers, codes, and related websites.

Parametric Leaky Integrate And Fire Spiking Neuron ⭐ 34

Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks

Pytorch Spiking ⭐ 32

Spiking neuron integration for PyTorch

Keras Spiking ⭐ 29

Spiking neuron integration for Keras

Spikingformer ⭐ 27

Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network

Hybrid Snn Conversion ⭐ 26

Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation

Reservoir computing library for .NET. Enables ESN , LSM and hybrid RNNs using analog and spiking neurons working together.

Signalpropagation ⭐ 23

Forward Pass Learning and Inference Library, for neural networks and general intelligence, Signal Propagation (sigprop)

Spiking_resnet ⭐ 18

Official implementation of the paper Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks

A library for deep learning with Spiking Neural Networks (SNN).

Spikingformer Cml ⭐ 14

Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation

NeuroMorphic Predictive Model with Spiking Neural Networks (SNN) using Pytorch

Quantization-aware training with spiking neural networks

Snn Adversarial Attacks ⭐ 9

Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters

Direct Training Snn ⭐ 8

This project used STBP-tdBN method to directly train Deep Spiking Neural Networks from scratch with PyTorch

eve-mli: making learning interesting

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1-19 of 19 search results

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