Trending repositories for topic spiking-neural-networks
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips" (ICLR2024)
🔥 This repo compiles top conference papers and code for Spiking Neural Networks research. The project is actively evolving. 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...
Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips" (ICLR2024)
🔥 This repo compiles top conference papers and code for Spiking Neural Networks research. The project is actively evolving. 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.
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.
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...
A curated list of awesome cns frameworks, libraries, and software + First class pure python Tutorial Series for Spiking Neural Networks 🔥
Offical implementation of "Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks" (AAAI2024)
Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips" (ICLR2024)
🔥 This repo compiles top conference papers and code for Spiking Neural Networks research. The project is actively evolving. 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。
A curated list of awesome cns frameworks, libraries, and software + First class pure python Tutorial Series for Spiking Neural Networks 🔥
Offical implementation of "Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks" (AAAI2024)
Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips" (ICLR2024)
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...
🔥 This repo compiles top conference papers and code for Spiking Neural Networks research. The project is actively evolving. 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 "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...
🔥 This repo compiles top conference papers and code for Spiking Neural Networks research. The project is actively evolving. 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 "Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks" (AAAI2024)
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.
GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.
A curated list of awesome cns frameworks, libraries, and software + First class pure python Tutorial Series for Spiking Neural Networks 🔥
Self-Supervised Learning of Event-based Optical Flow with Spiking Neural Networks
Leaky Integrate and Fire (LIF) model implementation for FPGA
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)
Offical implementation of "Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks" (AAAI2024)
A curated list of awesome cns frameworks, libraries, and software + First class pure python Tutorial Series for Spiking Neural Networks 🔥
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
Deep and online learning with spiking neural networks in Python
🔥 This repo compiles top conference papers and code for Spiking Neural Networks research. The project is actively evolving. 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
Self-Supervised Learning of Event-based Optical Flow with Spiking Neural Networks
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)
Forward Pass Learning and Inference Library, for neural networks and general intelligence, Signal Propagation (sigprop)
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.
A deep learning library for spiking neural networks which is based on PyTorch, focuses on fast training and supports inference on neuromorphic hardware.
GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.
Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips" (ICLR2024)
Offical implementation of "Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks" (AAAI2024)
Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)
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.
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...
🔥 This repo compiles top conference papers and code for Spiking Neural Networks research. The project is actively evolving. 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)
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)
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.
Leaky Integrate and Fire (LIF) model implementation for FPGA
Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network
🔥 This repo compiles top conference papers and code for Spiking Neural Networks research. The project is actively evolving. 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 "Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks" (AAAI2024)
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation 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...
[AAAI 2023] Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
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.
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
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...
DRL with population coded spiking neural network for optimal and energy-efficient continuous control.
Self-Supervised Learning of Event-based Optical Flow with Spiking Neural Networks
A curated list of awesome cns frameworks, libraries, and software + First class pure python Tutorial Series for Spiking Neural Networks 🔥
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks