Topic: spiking-neural-networks Goto Github
Some thing interesting about spiking-neural-networks
Some thing interesting about spiking-neural-networks
spiking-neural-networks,Forward Pass Learning and Inference Library, for neural networks and general intelligence, Signal Propagation (sigprop)
User: amassivek
Home Page: https://amassivek.github.io/sigprop
spiking-neural-networks,🔥 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。
User: axyzdong
spiking-neural-networks,Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration
User: basbuller
spiking-neural-networks,Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)
User: biclab
Home Page: https://ieeexplore.ieee.org/abstract/document/10032591
spiking-neural-networks,Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips" (ICLR2024)
User: biclab
Home Page: https://openreview.net/forum?id=1SIBN5Xyw7
spiking-neural-networks,Simulation of spiking neural networks (SNNs) using PyTorch.
Organization: binds-lab-umass
spiking-neural-networks,Simulation of spiking neural networks (SNNs) using PyTorch.
Organization: bindsnet
spiking-neural-networks,Offical implementation of "Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks" (AAAI2024)
User: bollossom
Home Page: https://ojs.aaai.org/index.php/AAAI/article/view/27816
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. The long term goal of BrainCog is to provide a comprehensive theory and system to decode the mechanisms and principles of human intelligence and its evolution, and develop artificial brains for brain-inspired conscious living AI in future Human-AI symbiotic Society.
Organization: braincog-x
Home Page: http://www.brain-cog.network/
spiking-neural-networks,Brain Dynamics Programming in Python
Organization: brainpy
Home Page: https://brainpy.readthedocs.io/
spiking-neural-networks,Brian is a free, open source simulator for spiking neural networks.
Organization: brian-team
Home Page: http://briansimulator.org
spiking-neural-networks,A brian2 extension to simulate spiking neural networks on GPUs
Organization: brian-team
Home Page: https://brian2cuda.readthedocs.io/
spiking-neural-networks,Brian 2 frontend to the GeNN simulator
Organization: brian-team
Home Page: http://brian2genn.readthedocs.io/
spiking-neural-networks,TUM Master’s thesis: Steering a robot with an event-based vision sensor in a lane-keeping task using methods such as Deep Reinforcement Learning or Spiking Neural Networks.
User: clamesc
spiking-neural-networks,DRL with population coded spiking neural network for optimal and energy-efficient continuous control.
Organization: combra-lab
spiking-neural-networks,Spiking-DDPG trains an SNN for energy-efficient mapless navigation on Intel's Loihi neuromorphic processor.
Organization: combra-lab
spiking-neural-networks,Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.
User: djsaunde
spiking-neural-networks,Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this project.
User: djsaunde
spiking-neural-networks,[AAAI 2023] Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
User: edisonleeeee
Home Page: https://arxiv.org/abs/2208.10364
spiking-neural-networks,Deep learning for spiking neural networks
Organization: electronicvisions
Home Page: https://norse.ai/docs
spiking-neural-networks,Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks
User: fangwei123456
spiking-neural-networks,SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
User: fangwei123456
Home Page: https://spikingjelly.readthedocs.io
spiking-neural-networks,Neural Simulator for AGI research and development
User: futureaiguru
Home Page: http://brainsim.org
spiking-neural-networks,Auryn: A fast simulator for spiking neural networks with synaptic plasticity
User: fzenke
Home Page: https://fzenke.net/auryn/
spiking-neural-networks,GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.
Organization: genn-team
Home Page: http://genn-team.github.io/
spiking-neural-networks,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 constantly fades if neurons aren't excited enough.
User: guillaume-chevalier
spiking-neural-networks,Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symmetric STDP Rule"
User: haoyz
spiking-neural-networks,Liquid State Machines in Python and NEST
Organization: igitugraz
spiking-neural-networks,Long short-term memory Spiking Neural Networks
Organization: igitugraz
spiking-neural-networks,This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform.
Organization: intel-nrc-ecosystem
Home Page: http://neuromorphic.intel.com
spiking-neural-networks,Deep and online learning with spiking neural networks in Python
User: jeshraghian
Home Page: https://snntorch.readthedocs.io/en/latest/
spiking-neural-networks,Spyx: Spiking Neural Networks in JAX
User: kmheckel
Home Page: https://spyx.readthedocs.io/en/latest/
spiking-neural-networks,Basic SNN propogating spikes between LIF neurons
User: markstrefford
spiking-neural-networks,JAX-based Spiking Neural Network framework
Organization: markusai
spiking-neural-networks,NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
Organization: naclab
spiking-neural-networks,Deep learning integration for Nengo
Organization: nengo
Home Page: https://www.nengo.ai/nengo-dl
spiking-neural-networks,Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.
Organization: neuromorphicprocessorproject
spiking-neural-networks,Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation
User: nitin-rathi
Home Page: https://openreview.net/forum?id=B1xSperKvH
spiking-neural-networks,Deep learning with spiking neural networks (SNNs) in PyTorch.
Organization: norse
Home Page: https://norse.github.io/norse/
spiking-neural-networks,A curated list of awesome cns frameworks, libraries, and software + First class pure python Tutorial Series for Spiking Neural Networks 🔥
User: realamirhe
spiking-neural-networks,The Spiking Reservoir (Liquid State Machine - LSM) Simulator
User: ricardodeazambuja
spiking-neural-networks,Pure python implementation of SNN
User: shikhargupta
spiking-neural-networks,A deep learning library for spiking neural networks which is based on PyTorch, focuses on fast training and supports inference on neuromorphic hardware.
Organization: synsense
Home Page: https://sinabs.readthedocs.io
spiking-neural-networks,
User: takyamamoto
spiking-neural-networks,Spiking Neural Networks in C++ with strong GPU acceleration through CUDA
Organization: tudelft
spiking-neural-networks,Self-Supervised Learning of Event-based Optical Flow with Spiking Neural Networks
Organization: tudelft
spiking-neural-networks,CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.
Organization: uci-carl
Home Page: http://uci-carl.github.io/CARLsim3
spiking-neural-networks,CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.
Organization: uci-carl
Home Page: http://www.socsci.uci.edu/~jkrichma/CARLsim
spiking-neural-networks,Event-Based Angular Velocity Regression with Spiking Networks
Organization: uzh-rpg
spiking-neural-networks,Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network
User: zhouchenlin2096
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