BasBuller / PySNN
Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration
☆225Updated 8 months ago
Alternatives and similar repositories for PySNN:
Users that are interested in PySNN are comparing it to the libraries listed below
- High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.☆384Updated 3 years ago
- Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.☆373Updated 2 years ago
- What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural net…☆265Updated 2 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆313Updated 8 months ago
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆157Updated 5 years ago
- A python implementation of a spiking neural network with STDP and Reinforcement learning methods☆127Updated 7 years ago
- PyTorch implementation of SLAYER for training Spiking Neural Networks☆316Updated this week
- ☆340Updated 3 years ago
- ☆90Updated last year
- Simulation of spiking neural networks (SNNs) using PyTorch.☆44Updated last year
- Collection of experimental Python and accompanying Bash scripts for training and evaluation of BindsNET networks.☆66Updated 2 years ago
- Basic SNN propogating spikes between LIF neurons☆84Updated 6 years ago
- ☆70Updated 3 years ago
- Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this pro…☆90Updated 7 years ago
- Deep learning with spiking neural networks (SNNs) in PyTorch.☆724Updated last week
- Long short-term memory Spiking Neural Networks☆102Updated 5 years ago
- ☆254Updated 3 years ago
- Brian 2 version of Paper "Unsupervised Learning of digit recognition using STDP"☆134Updated 4 years ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 6 years ago
- Spiking Convolutional Neural Networks☆67Updated 6 years ago
- Spatio-temporal BP for SNNs☆224Updated 2 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆100Updated 4 years ago
- Reinforcement Learning for Spiking Neural Networks☆82Updated 8 months ago
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆29Updated 10 months ago
- Event datasets and transforms.☆236Updated 2 months ago
- This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform…☆83Updated last year
- ☆42Updated 5 years ago
- ☆37Updated 3 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 years ago
- A deep learning library for spiking neural networks which is based on PyTorch, focuses on fast training and supports inference on neuromo…☆88Updated last month