Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT
☆84Feb 17, 2023Updated 3 years ago
Alternatives and similar repositories for Efficient-spiking-networks
Users that are interested in Efficient-spiking-networks are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆60Jan 2, 2023Updated 3 years ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆31Dec 17, 2020Updated 5 years ago
- ☆54Dec 2, 2023Updated 2 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆120Aug 9, 2022Updated 3 years ago
- ☆32Jan 9, 2025Updated last year
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆52Nov 8, 2022Updated 3 years ago
- Training Recurrent Neural Networks via Forward Propagation Through Time☆42Jun 11, 2021Updated 4 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆68Dec 8, 2023Updated 2 years ago
- Long short-term memory Spiking Neural Networks☆112Feb 25, 2020Updated 6 years ago
- ☆56Dec 8, 2022Updated 3 years ago
- Spatio-temporal BP for SNNs☆241May 17, 2022Updated 4 years ago
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆20Jan 16, 2025Updated last year
- ☆19Jan 19, 2026Updated 4 months ago
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆63Feb 18, 2022Updated 4 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆110Mar 18, 2024Updated 2 years ago
- [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"☆61Apr 16, 2024Updated 2 years ago
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆45Aug 2, 2023Updated 2 years ago
- Spiking Inception architecture for unsupervised Spiking Neural Networks☆11Jun 1, 2023Updated 2 years ago
- ☆19Mar 10, 2022Updated 4 years ago
- PyTorch based toolkit for developing spiking neural networks (SNNs) by training and testing them on speech command recognition tasks☆31May 3, 2024Updated 2 years ago
- ☆18Oct 15, 2021Updated 4 years ago
- Update arXiv papers about Spiking Neural Networks daily.☆507May 17, 2026Updated last week
- ☆12Oct 13, 2021Updated 4 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆53Aug 20, 2021Updated 4 years ago
- ☆19Mar 13, 2023Updated 3 years ago
- Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised cont…☆26Apr 19, 2024Updated 2 years ago
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆32Apr 22, 2024Updated 2 years ago
- Supervised Spiking Network☆83Jun 25, 2022Updated 3 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆103Apr 4, 2021Updated 5 years ago
- SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.☆2,033Updated this week
- A benchmark suite for evaluating Spiking Neural Networks (SNNs) on temporal processing tasks, comparing abilities of SNN-related models a…☆21Aug 14, 2025Updated 9 months ago
- Code for temporal efficient training☆74Jul 16, 2025Updated 10 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Neuron-Astrocyte Liquid State Machine☆24Nov 24, 2021Updated 4 years ago
- This repository contains code from our paper "Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Sp…☆32Jun 11, 2022Updated 3 years ago
- Implementation of Long Short Term Spiking NN☆40Aug 28, 2022Updated 3 years ago
- Multidigraph learning (MDGL) for training recurrent spiking neural networks☆14Dec 18, 2021Updated 4 years ago
- Deep Residual Learning in Spiking Neural Networks☆192Aug 9, 2022Updated 3 years ago
- AAAI-2024 "TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling"☆24Aug 23, 2024Updated last year
- Introducing dendrites to spiking neural networks. Designed for the Brian 2 simulator.☆44Jan 15, 2026Updated 4 months ago