Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.
☆72Apr 16, 2024Updated 2 years ago
Alternatives and similar repositories for TSSL-BP
Users that are interested in TSSL-BP are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆17Dec 18, 2020Updated 5 years ago
- ☆13Oct 1, 2020Updated 6 years ago
- Spatio-temporal BP for SNNs☆243May 17, 2022Updated 4 years ago
- Feedforward multilayer spiking neural network with SRM0 model. Gaussian receptive field has been used for information encoding☆10Feb 4, 2018Updated 8 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆88Apr 15, 2023Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆20Jan 16, 2025Updated last year
- ☆30Dec 8, 2020Updated 5 years ago
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆92May 9, 2024Updated 2 years ago
- Code for DCT_SNN, an input encoding scheme for SNNs using DCT☆21Sep 30, 2021Updated 5 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
- Code for temporal efficient training☆74Jul 16, 2025Updated last year
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆72Dec 8, 2023Updated 2 years ago
- PyTorch implementation of SLAYER for training Spiking Neural Networks☆326Jul 17, 2026Updated 3 months ago
- BNTT - Frontiers in Neuroscience (2021)☆49Nov 11, 2021Updated 4 years ago
- 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.
- ☆254May 8, 2021Updated 5 years ago
- ☆32Jan 15, 2019Updated 7 years ago
- ☆14Dec 2, 2021Updated 4 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆44Dec 12, 2022Updated 3 years ago
- Code for training binary and WTA SNNs☆17Mar 25, 2022Updated 4 years ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆52Nov 8, 2022Updated 3 years ago
- developing tools for LIAF-SNNs and LIF-SNNs☆10Sep 14, 2022Updated 4 years ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆31Dec 17, 2020Updated 5 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆103Apr 4, 2021Updated 5 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆63Aug 31, 2023Updated 3 years ago
- Feedforward spiking neural network has been trained with SpikeProp algorithm☆22Feb 6, 2018Updated 8 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
- ☆48Oct 13, 2026Updated 2 weeks ago
- ☆13May 13, 2022Updated 4 years ago
- ☆14Apr 30, 2022Updated 4 years ago
- Code for the model presented in the paper "LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recogniti…☆13Nov 20, 2020Updated 5 years ago
- Deep Residual Learning in Spiking Neural Networks☆201Aug 9, 2022Updated 4 years ago
- Implementation of CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphi☆16Aug 4, 2021Updated 5 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.
- Tutorial for surrogate gradient learning in spiking neural networks☆368Jun 18, 2026Updated 4 months ago
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆54Aug 20, 2021Updated 5 years ago
- Create a new backward path for more accurate SNN gradients.☆17Aug 19, 2024Updated 2 years ago
- ☆31Oct 20, 2023Updated 3 years ago
- Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper☆143Oct 22, 2020Updated 6 years ago
- Official code of "AutoSNN: Towards Energy-Efficient Spiking Neural Networks," ICML22☆18May 29, 2022Updated 4 years ago
- spiking neural network implementing the SpikeProp algorithm for the improvement of beat detection in heart sound signals☆18Feb 12, 2014Updated 12 years ago