nengo / keras-spiking
Spiking neuron integration for Keras
☆32Updated 3 weeks ago
Alternatives and similar repositories for keras-spiking:
Users that are interested in keras-spiking are comparing it to the libraries listed below
- Spiking neuron integration for PyTorch☆40Updated 3 weeks ago
- Deep learning integration for Nengo☆90Updated 3 weeks ago
- A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorph…☆63Updated 2 months ago
- Brian 2 frontend to the GeNN simulator☆47Updated 7 months ago
- Run Nengo models on Intel's Loihi chip☆38Updated 3 weeks ago
- A brian2 extension to simulate spiking neural networks on GPUs☆63Updated 3 months ago
- Deep learning for spiking neural networks☆69Updated 11 months ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 6 years ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆44Updated last year
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆225Updated 8 months 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
- Liquid State Machines in Python and NEST☆70Updated 4 years ago
- Learning to Learn: Gradient-free Optimization framework☆36Updated 3 years ago
- Long short-term memory Spiking Neural Networks☆102Updated 5 years ago
- ☆21Updated 2 months ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 years ago
- ANNarchy (Artificial Neural Networks architect) is a parallel simulator for rate-coded and spiking neural networks.☆39Updated 3 weeks ago
- My tensorflow sandbox☆56Updated 5 years ago
- Collection of experimental Python and accompanying Bash scripts for training and evaluation of BindsNET networks.☆66Updated 2 years ago
- Brian is a simulator for spiking neural networks available on almost all platforms. This is the legacy version that is no longer develope…☆60Updated 2 years ago
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆29Updated 9 months ago
- A differentiable spiking neural network simulator☆20Updated 2 months ago
- Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model et…☆68Updated 6 years ago
- CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…☆46Updated 2 weeks ago
- ☆89Updated last year
- The SpiNNaker implementation of the PyNN neural networking language☆106Updated this week
- A GPGPU based Spiking Neural Network (SNN) designed to be as transparent and easy to modify as possible. Written in C++/CUDA.☆45Updated 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
- The Spiking Reservoir (Liquid State Machine - LSM) Simulator☆56Updated last year
- Instructive examples using projects in the Nengo ecosystem☆23Updated last year