Tutorial for surrogate gradient learning in spiking neural networks
☆353Jul 25, 2024Updated last year
Alternatives and similar repositories for spytorch
Users that are interested in spytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆39Jan 26, 2022Updated 4 years ago
- Supervised Spiking Network☆83Jun 25, 2022Updated 3 years ago
- PyTorch implementation of SLAYER for training Spiking Neural Networks☆324May 30, 2025Updated 9 months ago
- High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.☆397Sep 7, 2021Updated 4 years ago
- Deep learning with spiking neural networks (SNNs) in PyTorch.☆796Feb 9, 2026Updated last month
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- BNTT - Frontiers in Neuroscience (2021)☆49Nov 11, 2021Updated 4 years ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆1,662Updated this week
- ☆47Jul 2, 2022Updated 3 years ago
- Deep and online learning with spiking neural networks in Python☆1,912Nov 4, 2025Updated 4 months ago
- ☆105Mar 18, 2024Updated 2 years ago
- ☆256May 8, 2021Updated 4 years ago
- Event datasets and transforms.☆276Mar 18, 2026Updated last week
- Tutorial for surrogate gradient learning in spiking neural networks☆48Jul 25, 2024Updated last year
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆103Apr 4, 2021Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Spatio-temporal BP for SNNs☆239May 17, 2022Updated 3 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆53Sep 28, 2020Updated 5 years ago
- ☆42Sep 4, 2019Updated 6 years ago
- SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.☆1,942Mar 15, 2026Updated last week
- Brian is a free, open source simulator for spiking neural networks.☆1,143Mar 19, 2026Updated last week
- Brian 2 frontend to the GeNN simulator☆49Mar 9, 2026Updated 2 weeks ago
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆92May 9, 2024Updated last year
- What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural net…☆276Nov 6, 2022Updated 3 years ago
- ☆364Mar 3, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Long short-term memory Spiking Neural Networks☆110Feb 25, 2020Updated 6 years ago
- Slides and demos from JuliaCon 2017 on 'Event-based Simulation of Spiking Neural Networks in Julia'☆16Jun 28, 2017Updated 8 years ago
- Spiking Convolutional Neural Networks☆69Dec 7, 2018Updated 7 years ago
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆65Dec 29, 2020Updated 5 years ago
- Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper☆139Oct 22, 2020Updated 5 years ago
- Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this pro…☆90Mar 15, 2018Updated 8 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆72Apr 16, 2024Updated last year
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆231Jul 31, 2024Updated last year
- ☆37Sep 16, 2025Updated 6 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆59Jul 16, 2018Updated 7 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆119Aug 9, 2022Updated 3 years ago
- Cosyne workshop tutorial 2022☆127Sep 2, 2022Updated 3 years ago
- Official implementation of "Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings" [ICLR2024]☆66Apr 24, 2024Updated last year
- Pytorch implementation of LFADS for demo at CAN workshop☆19Oct 7, 2019Updated 6 years ago
- Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.☆393Jan 13, 2023Updated 3 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆84Feb 17, 2023Updated 3 years ago