Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this project.
☆89Mar 15, 2018Updated 8 years ago
Alternatives and similar repositories for spiketorch
Users that are interested in spiketorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.☆406Sep 7, 2021Updated 5 years ago
- Supervised learning in spiking neural networks for precise temporal encoding☆18May 9, 2019Updated 7 years ago
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆169Jun 10, 2019Updated 7 years ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆45Sep 12, 2026Updated last week
- Collection of experimental Python and accompanying Bash scripts for training and evaluation of BindsNET networks.☆65Oct 28, 2022Updated 3 years ago
- AI Agents on 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.
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆234Jul 31, 2024Updated 2 years ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆1,703Updated this week
- PyTorch implementation of SLAYER for training Spiking Neural Networks☆328Jul 17, 2026Updated 2 months ago
- Repository for code, data, and other artifacts for "Minibatch Processing in Spiking Neural Networks"☆14Nov 5, 2019Updated 6 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…☆278Nov 6, 2022Updated 3 years ago
- Pure python implementation of SNN☆1,215Jul 29, 2022Updated 4 years ago
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆67Dec 29, 2020Updated 5 years ago
- ☆14Nov 20, 2019Updated 6 years ago
- To identify features by aggregate-label learning in spiking neurons☆14Feb 19, 2018Updated 8 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- spiking neural network implementing the SpikeProp algorithm for the improvement of beat detection in heart sound signals☆18Feb 12, 2014Updated 12 years ago
- Brian 2 version of Paper "Unsupervised Learning of digit recognition using STDP"☆137Feb 24, 2021Updated 5 years ago
- This is a project for the proposed Homeostasis-based ANN-to-SNN conversion for Inception and Residual architecture.☆11Nov 7, 2018Updated 7 years ago
- ☆32Jan 15, 2019Updated 7 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆365Jun 18, 2026Updated 3 months ago
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆31Mar 28, 2022Updated 4 years ago
- Python library for easy creation and running of spiking neural networks in tensorflow.☆33Apr 21, 2019Updated 7 years ago
- This is the PyNN code used in the paper titled "Multilayer Spiking Neural Network for audio samples classification using SpiNNaker", whic…☆32Dec 7, 2021Updated 4 years ago
- Supervised Spiking Network☆83Jun 25, 2022Updated 4 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- universal mesoscale Imaging Toolbox☆11Aug 21, 2026Updated last month
- Spiking Convolutional Neural Networks☆71Dec 7, 2018Updated 7 years ago
- Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.☆39Jun 7, 2021Updated 5 years ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆59Jul 16, 2018Updated 8 years ago
- CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…☆86Mar 14, 2023Updated 3 years ago
- Python implementation of a tempotron classifier for the MNIST dataset.☆14Feb 3, 2019Updated 7 years ago
- Code for DCT_SNN, an input encoding scheme for SNNs using DCT☆21Sep 30, 2021Updated 4 years ago
- Spiking neural networks are biologically plausible CNNs which learn through a temporally dependent learning method known as Spike Time De…☆10Aug 2, 2017Updated 9 years ago
- Deep learning in a spiking neural network using segregated dendrites.☆86Jun 30, 2017Updated 9 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆145May 12, 2021Updated 5 years ago
- This repo is the implementation of the spatio-temporal credit assignment (STCA) algorithm for training deep spiking neural networks.☆27Aug 7, 2019Updated 7 years ago
- A python implementation of a spiking neural network with STDP and Reinforcement learning methods☆134Jun 6, 2017Updated 9 years ago
- ☆35Mar 21, 2020Updated 6 years ago
- Proximal Mean-field for Neural Network Quantization☆21Apr 9, 2020Updated 6 years ago
- Reinforcement Learning for Spiking Neural Networks☆90Aug 14, 2024Updated 2 years ago
- A brian2 extension to simulate spiking neural networks on GPUs☆82Updated this week