Data encoders
☆33Mar 2, 2021Updated 5 years ago
Alternatives and similar repositories for snn-encoder-tools
Users that are interested in snn-encoder-tools are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This repository contains an implementation of the SNN algorithm NeuCube for EEG brain data classification.☆24Apr 4, 2018Updated 8 years ago
- A Spiking Neural Network encoder for time series data☆23Jul 6, 2026Updated 2 months ago
- Encoders for turning real-valued data into spike trains.☆12Feb 5, 2021Updated 5 years ago
- A spiking graph neural network for event-based learning☆49Nov 30, 2020Updated 5 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
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆234Jul 31, 2024Updated 2 years ago
- Supervised Spiking Network☆83Jun 25, 2022Updated 4 years ago
- Profiling power consumption of a neuromorphic keyword spotter.☆24Mar 3, 2020Updated 6 years ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆31Dec 17, 2020Updated 5 years ago
- Official code of "AutoSNN: Towards Energy-Efficient Spiking Neural Networks," ICML22☆18May 29, 2022Updated 4 years ago
- Library helping to incorporate biological constraints into Nengo networks☆13Aug 20, 2021Updated 5 years ago
- Code for DCT_SNN, an input encoding scheme for SNNs using DCT☆21Sep 30, 2021Updated 4 years ago
- A python implementation of a spiking neural network with STDP and Reinforcement learning methods☆134Jun 6, 2017Updated 9 years ago
- Comparison of Spiking Neural Network Simulator Performance☆21Oct 12, 2019Updated 6 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.
- Spiking Convolutional Neural Networks☆71Dec 7, 2018Updated 7 years ago
- ☆369Mar 3, 2022Updated 4 years ago
- PyTorch implementation of SLAYER for training Spiking Neural Networks☆328Jul 17, 2026Updated 2 months ago
- spiking-neural-networks☆38Oct 4, 2025Updated 11 months ago
- Convolutional Spiking Neural Network to recognize speech utterances using Spike-Timing-Dependent Plasticity☆10Mar 9, 2021Updated 5 years ago
- [ICASSP2022] RATE CODING OR DIRECT CODING: WHICH ONE IS BETTER FOR ACCURATE, ROBUST, and ENERGY-EFFICIENT SPIKING NEURAL NETWORKS☆20Sep 26, 2023Updated 2 years ago
- Underwater Event Camera Aided SLAM Dataset☆15Jun 1, 2023Updated 3 years ago
- ☆21Mar 5, 2021Updated 5 years ago
- Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EE…☆134May 21, 2020Updated 6 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.
- Codigo realizado para el curso practico de repaso de Html y CSS en Educursos☆32Sep 12, 2023Updated 3 years ago
- ☆14Nov 20, 2019Updated 6 years ago
- Repository for content for the AMLD2020 workshop "Spiking neural networks for real-time inference tasks"☆17Oct 28, 2020Updated 5 years ago
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆92May 9, 2024Updated 2 years ago
- This is the repository with the materials for the Graz BCI 2019 workshop : "Benchmarking BCI classification methods: a hands-on introduct…☆16Sep 17, 2019Updated 7 years ago
- Pytorch Implementation of Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion, IJCAI 2022☆22Dec 14, 2022Updated 3 years ago
- Pytorch implementation of EEGNet.☆54Oct 27, 2022Updated 3 years ago
- a spiking neural network module, tempotron for classification☆17Jan 13, 2021Updated 5 years ago
- An implementation of the paper 'Using Deep Networks for Scientific Discovery in Physiological Signals'☆12Aug 24, 2020Updated 6 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆169Jun 10, 2019Updated 7 years ago
- Materiales del taller de Meta Aprendizaje de la RIIAA 2020.☆13Aug 26, 2020Updated 6 years ago
- Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse☆18Oct 20, 2024Updated last year
- Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagatio…☆49Apr 16, 2026Updated 5 months ago
- developing tools for LIAF-SNNs and LIF-SNNs☆10Sep 14, 2022Updated 4 years ago
- Implementation of Long Short Term Spiking NN☆40Aug 28, 2022Updated 4 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆72Apr 16, 2024Updated 2 years ago