#Spiking-neural-networks
Showing 18 of 18 repositories tagged #spiking-neural-networks, ranked by stars
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
Simulation of spiking neural networks (SNNs) using PyTorch.
Pure python implementation of SNN
Deep learning with spiking neural networks (SNNs) in PyTorch.
Human brain cells play Doom (CL1)
NGC-Learn: Computational Neuroscience and NeuroAI in Python
Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.
Spiking Neural Networks in C++ with strong GPU acceleration through CUDA
Neuromorphic Computing Engine. SNN AI Architecture base from biology
Deep learning integration for Nengo
Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this project.
Basic SNN propogating spikes between LIF neurons
Forward Pass Learning and Inference Library, for neural networks and general intelligence, Signal Propagation (sigprop)
Implementation of the paper Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks
Axon is a spiking, biologically-based neural model driven by predictive error-driven learning, for systems-level models of the brain
Event-based neural networks