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
- Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neuronsβ12Updated 2 years ago
- β13Updated 4 years ago
- PyTorch based toolkit for developing spiking neural networks (SNNs) by training and testing them on speech command recognition tasksβ23Updated 11 months 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
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensorsβ31Updated 11 months ago
- β37Updated last year
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020β29Updated 4 years ago
- Collection of Spiking Neural Network applications for SNN Toolbox.β31Updated 5 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMITβ81Updated 2 years ago
- Supervised Spiking Networkβ80Updated 2 years ago
- PyTorch and Loihi implementation of the Spiking Neural Network for decoding EEG on Neuromorphic Hardwareβ37Updated 2 years ago
- A toolbox for neuromorphic sensing in robotics.β15Updated 4 years ago
- An event based dataset loader under one common python API.β10Updated 3 years ago
- Implementation of the paper Keys to Accurate Feature Extraction Using Residual Spiking Neural Networksβ29Updated last year
- Implementation of Long Short Term Spiking NNβ39Updated 2 years ago
- Reimplementation of the paper "STDP-based spiking deep convolutional neural networks for object recognition"β13Updated last year
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.β34Updated 3 years ago
- β44Updated last year
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagationβ15Updated 3 months 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
- 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
- β29Updated 3 months ago
- STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networksβ22Updated 2 years ago
- β45Updated 2 years ago
- Codes for Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learningβ11Updated 2 years ago
- Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symmβ¦β47Updated 4 years ago
- A toolbox for neuromorphic sensing in robotics.β16Updated 4 years ago
- a spiking neural network module, tempotron for classificationβ17Updated 4 years ago
- Pytorch Implementation of Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion, IJCAI 2022β21Updated 2 years ago
- Meta-Dynamic Neurons improved Spatio-temporal Generalization of Spiking Neural Networksβ9Updated 4 years ago