Trending repositories for topic spiking-neural-networks
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
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。
Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network
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...
Spiking-DDPG trains an SNN for energy-efficient mapless navigation on Intel's Loihi neuromorphic processor.
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network
🔥 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。
Spiking-DDPG trains an SNN for energy-efficient mapless navigation on Intel's Loihi neuromorphic processor.
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
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
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...
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.
🔥 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 / Oral)
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...
Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)
[ICLR 2024] Official implementation of Spiking Graph Contrastive Learning (0️⃣1️⃣ SpikeGCL)
Leaky Integrate and Fire (LIF) model implementation for FPGA
Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips" (ICLR2024)
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...
DRL with population coded spiking neural network for optimal and energy-efficient continuous control.
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks
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 / Oral)
[ICLR 2024] Official implementation of Spiking Graph Contrastive Learning (0️⃣1️⃣ SpikeGCL)
🔥 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。
Leaky Integrate and Fire (LIF) model implementation for FPGA
Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)
Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network
DRL with population coded spiking neural network for optimal and energy-efficient continuous control.
Deep and online learning with spiking neural networks in Python
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
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.
Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips" (ICLR2024)
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks
A curated list of awesome cns frameworks, libraries, and software + First class pure python Tutorial Series for Spiking Neural Networks 🔥
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...
Spiking-DDPG trains an SNN for energy-efficient mapless navigation on Intel's Loihi neuromorphic processor.
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 / Oral)
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)
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...
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 / Oral)
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network
Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)
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...
Offical implementation of "Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks" (AAAI2024)
A deep learning library for spiking neural networks which is based on PyTorch, focuses on fast training and supports inference on neuromorphic hardware.
Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.
[ICLR 2024] Official implementation of Spiking Graph Contrastive Learning (0️⃣1️⃣ SpikeGCL)
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。
Offical implementation of "Inherent Redundancy in Spiking Neural Networks" (ICCV2023)
Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network
Leaky Integrate and Fire (LIF) model implementation for FPGA
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
[AAAI 2023] Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
Deep and online learning with spiking neural networks in Python
Offical implementation of "Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks" (AAAI2024)
A deep learning library for spiking neural networks which is based on PyTorch, focuses on fast training and supports inference on neuromorphic hardware.
Introducing dendrites to spiking neural networks. Designed for the Brian 2 simulator.
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
DRL with population coded spiking neural network for optimal and energy-efficient continuous control.
A curated list of awesome cns frameworks, libraries, and software + First class pure python Tutorial Series for Spiking Neural Networks 🔥
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...