Trending repositories for topic spiking-neural-networks

Deep and online learning with spiking neural networks in Python

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

Offical implementation of "Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection" (ECCV2024 Best Paper Candidate)

🔥 This repo collects top international conference papers, codes about Spiking Neural Networks. 本仓库收集了脉冲神经网络领域的顶会顶刊论文和代码，正在持续更新中。

Simulation of spiking neural networks (SNNs) using PyTorch.

Offical implementation of "Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection" (ECCV2024 Best Paper Candidate)

Deep and online learning with spiking neural networks in Python

🔥 This repo collects top international conference papers, codes about Spiking Neural Networks. 本仓库收集了脉冲神经网络领域的顶会顶刊论文和代码，正在持续更新中。

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

Simulation of spiking neural networks (SNNs) using PyTorch.

Deep and online learning with spiking neural networks in Python

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

Offical implementation of "Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection" (ECCV2024 Best Paper Candidate)

🔥 This repo collects top international conference papers, codes about Spiking Neural Networks. 本仓库收集了脉冲神经网络领域的顶会顶刊论文和代码，正在持续更新中。

Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales. T...

Code for our IEEE RAL + ICRA 2022 paper "Spiking Neural Networks for Visual Place Recognition via Weighted Neuronal Assignments", and our ICRA2023 paper "Ensembles of Compact, Region-specific & Regula...

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

Code for our IEEE RAL + ICRA 2022 paper "Spiking Neural Networks for Visual Place Recognition via Weighted Neuronal Assignments", and our ICRA2023 paper "Ensembles of Compact, Region-specific & Regula...

Offical implementation of "Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection" (ECCV2024 Best Paper Candidate)

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

🔥 This repo collects top international conference papers, codes about Spiking Neural Networks. 本仓库收集了脉冲神经网络领域的顶会顶刊论文和代码，正在持续更新中。

Deep and online learning with spiking neural networks in Python

Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales. T...

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

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

Deep and online learning with spiking neural networks in Python

🔥 This repo collects top international conference papers, codes about Spiking Neural Networks. 本仓库收集了脉冲神经网络领域的顶会顶刊论文和代码，正在持续更新中。

Offical implementation of "Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection" (ECCV2024 Best Paper Candidate)

Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales. T...

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

Simulation of spiking neural networks (SNNs) using PyTorch.

Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)

Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips" (ICLR2024)

Brain Dynamics Programming in Python

Pure python implementation of SNN

Brian is a free, open source simulator for spiking neural networks.

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

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

[AAAI 2023] Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks

Code for our IEEE RAL + ICRA 2022 paper "Spiking Neural Networks for Visual Place Recognition via Weighted Neuronal Assignments", and our ICRA2023 paper "Ensembles of Compact, Region-specific & Regula...

Source code for the paper "Federated Learning with Spiking Neural Networks".

SyOPs counter for spiking neural networks

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

Offical implementation of "Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks" (AAAI2024)

Offical implementation of "Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection" (ECCV2024 Best Paper Candidate)

Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)

🔥 This repo collects top international conference papers, codes about Spiking Neural Networks. 本仓库收集了脉冲神经网络领域的顶会顶刊论文和代码，正在持续更新中。

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

Code for our IEEE RAL + ICRA 2022 paper "Spiking Neural Networks for Visual Place Recognition via Weighted Neuronal Assignments", and our ICRA2023 paper "Ensembles of Compact, Region-specific & Regula...

Source code for the paper "Federated Learning with Spiking Neural Networks".

[AAAI 2023] Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks

Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips" (ICLR2024)

SyOPs counter for spiking neural networks

Offical implementation of "Inherent Redundancy in Spiking Neural Networks" (ICCV2023)

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

Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales. T...

Deep and online learning with spiking neural networks in Python

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

Leaky Integrate and Fire (LIF) model implementation for FPGA

Offical implementation of "Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks" (AAAI2024)

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

Brain Dynamics Programming in Python

A deep learning library for spiking neural networks which is based on PyTorch, focuses on fast training and supports inference on neuromorphic hardware.

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

Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips" (ICLR2024)

Offical implementation of "Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection" (ECCV2024 Best Paper Candidate)

Deep and online learning with spiking neural networks in Python

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

🔥 This repo collects top international conference papers, codes about Spiking Neural Networks. 本仓库收集了脉冲神经网络领域的顶会顶刊论文和代码，正在持续更新中。

Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips" (ICLR2024)

Simulation of spiking neural networks (SNNs) using PyTorch.

Offical implementation of "Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection" (ECCV2024 Best Paper Candidate)

Brain Dynamics Programming in Python

Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales. T...

Pure python implementation of SNN

Brian is a free, open source simulator for spiking neural networks.

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

Spyx: Spiking Neural Networks in JAX

NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python

Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)

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

Offical implementation of "Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks" (AAAI2024)

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

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 in...

A deep learning library for spiking neural networks which is based on PyTorch, focuses on fast training and supports inference on neuromorphic hardware.

[AAAI 2023] Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks

[ICLR 2024] Official implementation of Spiking Graph Contrastive Learning (0️⃣1️⃣ SpikeGCL)

Spyx: Spiking Neural Networks in JAX

Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)

🔥 This repo collects top international conference papers, codes about Spiking Neural Networks. 本仓库收集了脉冲神经网络领域的顶会顶刊论文和代码，正在持续更新中。

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

Offical implementation of "Inherent Redundancy in Spiking Neural Networks" (ICCV2023)

SyOPs counter for spiking neural networks

Leaky Integrate and Fire (LIF) model implementation for FPGA

[AAAI 2023] Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks

NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python

Offical implementation of "Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks" (AAAI2024)

Deep and online learning with spiking neural networks in Python

A deep learning library for spiking neural networks which is based on PyTorch, focuses on fast training and supports inference on neuromorphic hardware.

Event-based neural networks

DRL with population coded spiking neural network for optimal and energy-efficient continuous control.

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

Introducing dendrites to spiking neural networks. Designed for the Brian 2 simulator.

Code for our IEEE RAL + ICRA 2022 paper "Spiking Neural Networks for Visual Place Recognition via Weighted Neuronal Assignments", and our ICRA2023 paper "Ensembles of Compact, Region-specific & Regula...

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

A curated list of awesome cns frameworks, libraries, and software + First class pure python Tutorial Series for Spiking Neural Networks 🔥