fzenke / spytorch
Tutorial for surrogate gradient learning in spiking neural networks
☆309Updated 8 months ago
Alternatives and similar repositories for spytorch:
Users that are interested in spytorch are comparing it to the libraries listed below
- High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.☆383Updated 3 years ago
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆224Updated 8 months ago
- Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.☆374Updated 2 years ago
- PyTorch implementation of SLAYER for training Spiking Neural Networks☆314Updated 7 months ago
- What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural net…☆266Updated 2 years ago
- Event datasets and transforms.☆235Updated last month
- Long short-term memory Spiking Neural Networks☆102Updated 5 years ago
- List of open source neuromorphic projects: SNN training frameworks, DVS handling routines and so on.☆214Updated 3 months ago
- Neuromorphic Intermediate Representation reference implementation☆97Updated last week
- Deep learning with spiking neural networks (SNNs) in PyTorch.☆713Updated 3 weeks ago
- A python implementation of a spiking neural network with STDP and Reinforcement learning methods☆126Updated 7 years ago
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆29Updated 9 months ago
- Deep Learning library for Lava☆157Updated last week
- A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorph…☆63Updated 2 months ago
- Cosyne workshop tutorial 2022☆115Updated 2 years ago
- ☆89Updated last year
- ☆340Updated 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
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆158Updated 5 years ago
- Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model et…☆68Updated 6 years ago
- ☆253Updated 3 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 2 weeks ago
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆50Updated 2 years ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆44Updated last year
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆51Updated 3 years ago
- A brian2 extension to simulate spiking neural networks on GPUs☆63Updated 2 months ago
- Spatio-temporal BP for SNNs☆223Updated 2 years ago
- ☆69Updated 3 years ago
- A library for deep learning with Spiking Neural Networks (SNN).☆28Updated this week
- Collection of experimental Python and accompanying Bash scripts for training and evaluation of BindsNET networks.☆66Updated 2 years ago