dsalaj / GoogleSpeechCommandsRNN
Spiking π§ and artificial π€ RNN solutions to Speech Commands Dataset π£οΈ in TensorFlow
β13Updated 4 years ago
Alternatives and similar repositories for GoogleSpeechCommandsRNN:
Users that are interested in GoogleSpeechCommandsRNN are comparing it to the libraries listed below
- PyTorch based toolkit for developing spiking neural networks (SNNs) by training and testing them on speech command recognition tasksβ23Updated 9 months ago
- Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neuronsβ12Updated 2 years ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020β28Updated 4 years ago
- An event based dataset loader under one common python API.β10Updated 2 years ago
- Reimplementation of the paper "STDP-based spiking deep convolutional neural networks for object recognition"β14Updated last year
- β15Updated last year
- Collection of Spiking Neural Network applications for SNN Toolbox.β31Updated 4 years ago
- Code for the model presented in the paper "LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recognitiβ¦β11Updated 4 years ago
- PyTorch and Loihi implementation of the Spiking Neural Network for decoding EEG on Neuromorphic Hardwareβ36Updated 2 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMITβ78Updated 2 years ago
- β13Updated 4 years ago
- Optimizing threshold and leak in LIF neurons with end-to-end backpropagationβ18Updated 3 years ago
- β37Updated last year
- The code to simulate spiking neural networks as used in the paper "Spiking Time-Dependent Plasticity Leads to Efficient Coding of Predictβ¦β10Updated 5 years ago
- Pytorch Implementation of Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion, IJCAI 2022β22Updated 2 years ago
- Meta-Dynamic Neurons improved Spatio-temporal Generalization of Spiking Neural Networksβ9Updated 4 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networksβ56Updated last year
- Repository code for the IJCNN 2021 paper "Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks"β16Updated 2 years ago
- BNTT - Frontiers in Neuroscience (2021)β47Updated 3 years ago
- STBP is a way to train SNN with datasets by Backward propagation.Using this Repositories allows you to train SNNS with STBP and quantize β¦β28Updated 3 years ago
- β29Updated last month
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networksβ37Updated last year
- β37Updated last year
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.β52Updated 3 years ago
- This repository contains code from our paper Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes, published in β¦β20Updated 2 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.β36Updated 2 years ago
- Official implementation of "Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings" [ICLR2024]β54Updated 9 months ago
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensorsβ30Updated 10 months ago
- β45Updated 2 years ago
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.β34Updated 3 years ago