spiking-neural-network

There are 54 repositories under spiking-neural-network topic.

  • coderonion/awesome-yolo-object-detection

    🚀🚀🚀 A collection of some awesome public YOLO object detection series projects and the related object detection datasets.

  • zhouchenlin2096/Awesome-Spiking-Neural-Networks

    A paper list of spiking neural networks, including papers, codes, and related websites. 本仓库收集脉冲神经网络相关的顶会顶刊论文和代码,正在持续更新中。

  • AXYZdong/awesome-snn-conference-paper

    🔥 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。

  • BICLab/Spike-Driven-Transformer

    Offical implementation of "Spike-driven Transformer" (NeurIPS2023)

    Language:Python24322023
  • cwq159/PyTorch-Spiking-YOLOv3

    A PyTorch implementation of Spiking-YOLOv3. Two branches are provided, based on two common PyTorch implementation of YOLOv3(ultralytics/yolov3 & eriklindernoren/PyTorch-YOLOv3), with support for Spiking-YOLOv3-Tiny at present.

    Language:Python21476658
  • coderonion/awesome-snn

    🔥🔥🔥A collection of some awesome public SNN(Spiking Neural Network) projects.

  • BICLab/EMS-YOLO

    Offical implementation of "Deep Directly-Trained Spiking Neural Networks for Object Detection" (ICCV2023)

    Language:Python17042115
  • StarRing2022/ChatGPTX-Uni

    实现一种多Lora权值集成切换+Zero-Finetune零微调增强的跨模型技术方案,LLM-Base+LLM-X+Alpaca,初期,LLM-Base为Chatglm6B底座模型,LLM-X是LLAMA增强模型。该方案简易高效,目标是使此类语言模型能够低能耗广泛部署,并最终在小模型的基座上发生“智能涌现”,力图最小计算代价达成ChatGPT、GPT4、ChatRWKV等人类友好亲和效果。当前可以满足总结、提问、问答、摘要、改写、评论、扮演等各种需求。

    Language:Python116589
  • zhouchenlin2096/QKFormer

    Offical code of "QKFormer: Hierarchical Spiking Transformer using Q-K Attention" (NeurIPS 2024,Spotlight 3%)

    Language:Python1036115
  • metr0jw/Spiking-Neural-Network-on-FPGA

    Leaky Integrate and Fire (LIF) model implementation for FPGA

    Language:Verilog58205
  • BICLab/Spike-Driven-Transformer-V3

    Offical implementation of "Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training" (IEEE T-PAMI2025)

    Language:Python54115
  • QVPR/VPRTempo

    Code for VPRTempo, our temporally encoded spiking neural network for visual place recognition.

    Language:Python44147
  • zhouchenlin2096/Spikingformer-CML

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

    Language:Python39282
  • combra-lab/snn-eeg

    PyTorch and Loihi implementation of the Spiking Neural Network for decoding EEG on Neuromorphic Hardware

    Language:Python37324
  • MXHX7199/SNN-SSTDP

    SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.

    Language:Python34232
  • VicenteAlex/Spiking_ResNet

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

    Language:Python28212
  • sandialabs/Fugu

    Language:Python25303
  • Jiankun-chen/Supervised-SNN-with-GD

    A supervised learning algorithm of SNN is proposed by using spike sequences with complex spatio-temporal information. We explore an error back-propagation method of SNN based on gradient descent. The chain rule proved mathematically that it is sufficient to update the SNN’s synaptic weights by directly using an optimizer. Utilizing the TensorFlow framework, a bilayer supervised learning SNN is constructed from scratch. We take the lead in the application of SAR image classification and conduct experiments on the MSTAR dataset.

    Language:Python20113
  • dodo47/SpikE

    Code and data to the publication "SpikE: spike-based embeddings for multi-relational graph data".

    Language:Jupyter Notebook13210
  • SpiNNCer

    SpiNNakerManchester/SpiNNCer

    Bio-inspired neuromorphic cerebellum

    Language:Python101421
  • ianmkim/snnpp

    Spiking Neural Network implementation in pure C++ with minimal dependencies

    Language:C++8101
  • Axelwickm/NeuroCorrelation

    3D Spiking neural network simulation exploring Spike Timing Dependent Plasticity (STDP)

    Language:C++7111
  • combra-lab/spiking-oculomotor-head-control

    Python and ROS implementation of an SNN on Intel's Loihi neuromorphic processor mimicking the oculomotor system controlling a biomimetic robotic head

    Language:OpenEdge ABL7300
  • michaelgzt/loihi-control-loop-demo

    A demo for robotic control loop with Intel's Loihi neuromorphic chip used in our papers

    Language:Jupyter Notebook7100
  • AdamDHines/LENS

    Code for LENS, fully neuromorphic place recognition integrating sensors, hardware, and algorithms for robotic localization.

    Language:Python6260
  • Tab-ct/MAP-SNN

    Mapping Spike Activities with Multiplicity, Adaptability, and Plasticity into Bio-Plausible Spiking Neural Networks

    Language:Python6101
  • khengyeww/sym-STDP

    Hao's sym-STDP-SNN model

    Language:Python5240
  • lartpang/TopicSpecificPaper-DailyArxiv

    Update arXiv daily papers about the specific topics like Spiking Neural Networks...

    Language:Python500
  • acaciasresearch/aegis-viii-showcase

    Showcases of Spiking Neural Network, which have Synaptic Plasticity

  • ggoupy/SpikeNN

    CPU-based spiking neural network framework for classification layers employing first-spike coding and supervised STDP training.

    Language:Python4100
  • BoccheseGiacomo/SCRN----Pre-Alpha-version

    Self-Control Reservoir Network is a neural network concept that inspires from the human brain and from Reservoir Computing, designed for a better and smarter computing network

    Language:Jupyter Notebook3100
  • gogoalexy/FlyintelBot

    Bio-inspired spiking-neural-network framework on an autonomous robot car.

    Language:C++3101
  • rpazuki/snn.tutorial

    Demo: Spiking Neural Network (SNN) using Generalised Linear Model (GLM)

    Language:Jupyter Notebook3102
  • snuhcs/snn_signgd

    Official Repository of "Sign Gradient Descent-based Neuronal Dynamics: ANN-to-SNN Conversion Beyond ReLU Network" (ICML 2024)

    Language:Python3200
  • Thvnvtos/SNN_vs_ANN

    A simple experiment to compare Artificial and Spiking Neural Networks in Sequential and Few-Shot Learning.

    Language:Python3100