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64 search results found

Snntorch ⭐ 935

Deep and online learning with spiking neural networks in Python

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

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

Brainpy ⭐ 438

Brain Dynamics Programming in Python

Spiking Neural Network ⭐ 434

Pure python implementation of SNN

Brain Cog ⭐ 357

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.

Snn_toolbox ⭐ 293

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

Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.

Spike Driven Transformer ⭐ 130

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

Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration

Snn_angular_velocity ⭐ 87

Event-Based Angular Velocity Regression with Spiking Networks

Nengo Dl ⭐ 77

Deep learning integration for Nengo

Ngc Learn ⭐ 71

NGC-Learn: Predictive Coding and Neurobiologically-Motivated Learning in Python

This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform.

Spiketorch ⭐ 69

Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this project.

Pytorch Spiking Yolov3 ⭐ 65

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.

Event_flow ⭐ 64

Self-Supervised Learning of Event-based Optical Flow with Spiking Neural Networks

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

Deep learning for spiking neural networks

Brian2cuda ⭐ 56

A brian2 extension to simulate spiking neural networks on GPUs

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

JAX-based Spiking Neural Network framework

The Spiking Reservoir (Liquid State Machine - LSM) Simulator

Brian2genn ⭐ 42

Brian 2 frontend to the GeNN 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 & Regularized Spiking Neural Networks for Scalable Place Recognition"

Parametric Leaky Integrate And Fire Spiking Neuron ⭐ 34

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

Spikenet ⭐ 33

[AAAI23] Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks

Training Neural Networks For Event Based End To End Robot Control ⭐ 33

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.

Pytorch Spiking ⭐ 32

Spiking neuron integration for PyTorch

Keras Spiking ⭐ 29

Spiking neuron integration for Keras

Liquid State Machines in Python and NEST

Nengolib ⭐ 28

Nengo library of additional extensions

Bindsnet ⭐ 28

Simulation of spiking neural networks (SNNs) using PyTorch.

Attention Snn ⭐ 28

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

Ems Yolo ⭐ 27

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

Spikingformer ⭐ 27

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

Hybrid Snn Conversion ⭐ 26

Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation

Snn Experiments ⭐ 25

Some of my initial studies using spiking neural networks and Python

Signalpropagation ⭐ 23

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

Vprtempo ⭐ 20

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

Spikeflow ⭐ 20

Python library for easy creation and running of spiking neural networks in tensorflow.

Snns In Tensorflow ⭐ 20

Implementation of a Spiking Neural Network in Tensorflow.

Spiking_resnet ⭐ 18

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

A library for deep learning with Spiking Neural Networks (SNN).

Snn_object_recognition ⭐ 17

One-Shot Object Appearance Learning using Spiking Neural Networks

Spiking Ddpg Mapless Navigation ⭐ 17

Spiking-DDPG trains an SNN for energy-efficient mapless navigation on Intel's Loihi neuromorphic processor.

Pop Spiking Deep Rl ⭐ 17

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

Spiking Restricted Boltzmann Machine ⭐ 17

RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.

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

Conversion from CNNs to SNNs using Tensorflow-Keras

Spikingformer Cml ⭐ 14

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

Lsnn Official ⭐ 13

Long short-term memory Spiking Neural Networks

Snn From Scratch With Python ⭐ 13

Spikernn ⭐ 13

NeuroMorphic Predictive Model with Spiking Neural Networks (SNN) using Pytorch

Syops Counter ⭐ 10

SyOPs counter for spiking neural networks

Deep Spiking Reinforcement Learning

A tiny Spiking neural network library implemented by BindsNet.

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

Spiking Inception ⭐ 8

Spiking Inception architecture for unsupervised Spiking Neural Networks.

Direct Training Snn ⭐ 8

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

eve-mli: making learning interesting

Sstformer ⭐ 8

Official PyTorch implementation of "SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition"

Noisy Spiking Neuron Nets ⭐ 8

Official repo of Noisy Spiking Neural Networks

Simulate and analyse complex microcircuits

Pymonntorch ⭐ 6

Pytorch-adapted version of PymoNNto

Spikingsim ⭐ 6

SpikingSIM, spiking camera simulator

Speech_spike_signatures ⭐ 5

Spiking neural networks (SNNs) for speech classification

Supervised Snn With Gd ⭐ 5

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

Malleable spiking neural network framework and training platform.

A Spiking Neural Network framework with SNNML parser written in Python

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

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