deepspike / snn-for-asrLinks
Pytorch-Kaldi implementation of SNN-based ASR systems
☆18Updated 5 years ago
Alternatives and similar repositories for snn-for-asr
Users that are interested in snn-for-asr are comparing it to the libraries listed below
Sorting:
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆83Updated 2 years ago
- PyTorch based toolkit for developing spiking neural networks (SNNs) by training and testing them on speech command recognition tasks☆28Updated last year
- ☆13Updated 5 years ago
- Implementation of Long Short Term Spiking NN☆39Updated 3 years ago
- Long short-term memory Spiking Neural Networks☆104Updated 5 years ago
- Supervised Spiking Network☆81Updated 3 years ago
- Spiking neural networks (SNNs) for speech classification☆12Updated 3 years ago
- ☆46Updated last year
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆71Updated last year
- Implementation of the paper Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks☆33Updated last year
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆89Updated 2 years ago
- This is the PyNN code used in the paper titled "Multilayer Spiking Neural Network for audio samples classification using SpiNNaker", whic…☆32Updated 3 years ago
- ☆10Updated last year
- Data encoders☆33Updated 4 years ago
- Pytorch Implementation of Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion, IJCAI 2022☆24Updated 2 years ago
- Encoders for turning real-valued data into spike trains.☆12Updated 4 years ago
- ☆38Updated 3 years ago
- ☆42Updated 6 years ago
- An event based dataset loader under one common python API.☆10Updated 3 years ago
- spiking-neural-networks☆37Updated this week
- ☆45Updated 3 years ago
- Spiking 🧠 and artificial 🤖 RNN solutions to Speech Commands Dataset 🗣️ in TensorFlow☆13Updated 4 years ago
- Spiking Convolutional Neural Networks☆68Updated 6 years ago
- Code for DCT_SNN, an input encoding scheme for SNNs using DCT☆17Updated 4 years ago
- To identify features by aggregate-label learning in spiking neurons☆14Updated 7 years ago
- Codes for Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning☆11Updated 3 years ago
- Collection of Spiking Neural Network applications for SNN Toolbox.☆34Updated 5 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆102Updated 4 years ago
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆31Updated last year
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆29Updated 4 years ago