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Projects in Awesome Lists tagged with spiking-neural-networks

A curated list of projects in awesome lists tagged with spiking-neural-networks .

https://github.com/fangwei123456/spikingjelly

SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

deep-learning dvs machine-learning pytorch snn spiking-neural-networks

Last synced: 01 Oct 2024

https://github.com/jeshraghian/snntorch

Deep and online learning with spiking neural networks in Python

machine-learning neural-networks neuron-models neuroscience python pytorch snn spike spiking spiking-neural-networks

Last synced: 30 Sep 2024

https://github.com/BrainCog-X/Brain-Cog

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.

brain-inspired-ai brain-inspired-computation brain-simulations computational-neuroscience spiking-neural-networks

Last synced: 02 Aug 2024

https://github.com/neuromorphicprocessorproject/snn_toolbox

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

brian brian2 caffe deep-learning deep-neural-networks keras lasagne loihi nest pynn pytorch spiking-neural-networks spinnaker tensorflow

Last synced: 28 Sep 2024

https://github.com/NeuromorphicProcessorProject/snn_toolbox

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

brian brian2 caffe deep-learning deep-neural-networks keras lasagne loihi nest pynn pytorch spiking-neural-networks spinnaker tensorflow

Last synced: 02 Aug 2024

https://github.com/guillaume-chevalier/spiking-neural-network-snn-with-pytorch-where-backpropagation-engenders-stdp

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.

neurons spiking-neural-networks

Last synced: 03 Oct 2024

https://github.com/genn-team/genn

GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.

computational-neuroscience hacktoberfest nvidia-cuda simulation spiking-neural-networks

Last synced: 02 Aug 2024

https://github.com/BasBuller/PySNN

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

deep-learning dynamic gpu-acceleration gpu-computing machine-learning neural-networks python3 pytorch spiking-neural-networks stdp

Last synced: 03 Aug 2024

https://github.com/nitin-rathi/hybrid-snn-conversion

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

ann-snn-conversion backpropagation-algorithm deep-learning pytorch snn spiking-neural-networks

Last synced: 02 Aug 2024

https://github.com/kmheckel/spyx

Spyx: Spiking Neural Networks in JAX

ai dm-haiku jax ml neural-networks neuromorphic snn spiking-neural-networks

Last synced: 04 Aug 2024

https://github.com/BICLab/Spike-Driven-Transformer-V2

Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips" (ICLR2024)

neuromorphic-computing neuromorphic-hardware spiking-neural-networks

Last synced: 02 Aug 2024

https://github.com/clamesc/Training-Neural-Networks-for-Event-Based-End-to-End-Robot-Control

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.

deep-reinforcement-learning dynamic-vision-sensing event-driven linux nest python ros spiking-neural-networks tensorflow v-rep

Last synced: 04 Aug 2024

https://github.com/BICLab/SpikeYOLO

Offical implementation of "Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection" (ECCV2024 Oral)

neuromorphic-computing spiking-neural-networks

Last synced: 07 Sep 2024

https://github.com/BICLab/Attention-SNN

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

attention-mechanism dynamic-neural-network spiking-neural-networks

Last synced: 02 Aug 2024

https://github.com/colinator/spikeflow

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

computational-neuroscience python snn spiking-neural-networks tensorflow

Last synced: 02 Aug 2024

https://github.com/ibm-research-tokyo/diffsnn

An implementation of a differentiable point process and a differentiable spiking neural network.

point-processes spiking-neural-networks

Last synced: 02 Aug 2024

https://github.com/ajaysub110/mnist-pygenn

Implementation of the paper 'Unsupervised learning of digit recognition using spike-timing-dependent plasticity' by Peter Diehl and Matthew Cook, using the PyGeNN (Python interface of GeNN) SNN framework

genn machine-learning spiking-neural-networks

Last synced: 02 Oct 2024

https://github.com/zimmerrol/spiking-bayesian-networks

Implementation of the paper Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints by Habenschuss et al.

bayesian-inference bayesian-spiking-neural-network neural-network nips spiking-neural-networks

Last synced: 03 Oct 2024

https://github.com/trfore/chatmodel

Neuronal Simulation of the Granule Cell Layer within the Cerebellar Cortex

biological-simulations brian2 cerebellar-granule-cell neuroscience spiking-neural-networks

Last synced: 03 Oct 2024