abr / power_benchmarks
Profiling power consumption of a neuromorphic keyword spotter.
☆22Updated 5 years ago
Alternatives and similar repositories for power_benchmarks:
Users that are interested in power_benchmarks are comparing it to the libraries listed below
- 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
- Collection of Spiking Neural Network applications for SNN Toolbox.☆31Updated 5 years ago
- Supervised Spiking Network☆80Updated 2 years ago
- RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.☆29Updated 7 years ago
- Run Nengo models on Intel's Loihi chip☆38Updated last month
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 6 years ago
- ☆42Updated 5 years ago
- An open-source cross-platform package to analyze and post-process spiking information obtained from neuromorphic cochleas☆18Updated 9 months ago
- Intel Neuromorphic DNS Challenge☆144Updated 4 months ago
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆31Updated last year
- ☆45Updated 2 years ago
- Supervised learning in spiking neural networks for precise temporal encoding☆18Updated 5 years ago
- This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform…☆83Updated last year
- Spiking Neural Network to identify spoken letters☆8Updated 7 years ago
- Collection of experimental Python and accompanying Bash scripts for training and evaluation of BindsNET networks.☆66Updated 2 years ago
- ☆70Updated 9 years ago
- Repository for code, data, and other artifacts for "Minibatch Processing in Spiking Neural Networks"☆14Updated 5 years ago
- Long short-term memory Spiking Neural Networks☆102Updated 5 years ago
- Event-based deep belief network offline training algorithm☆22Updated 10 years ago
- Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this pro…☆90Updated 7 years ago
- ☆30Updated 3 months ago
- To identify features by aggregate-label learning in spiking neurons☆14Updated 7 years ago
- PyTorch-based code for training fully-connected and convolutional networks using backpropagation (BP), feedback alignment (FA), direct fe…☆66Updated 4 years ago
- Differentiate notes using a spiking neural network☆49Updated 3 years ago
- Spiking neural networks (SNNs) for speech classification☆12Updated 3 years ago
- ☆37Updated 3 years ago
- The Spiking Reservoir (Liquid State Machine - LSM) Simulator☆56Updated last year
- Pytorch-Kaldi implementation of SNN-based ASR systems☆18Updated 5 years ago
- Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symm…☆47Updated 4 years ago
- ☆90Updated last year