nengo / pytorch-spiking
Spiking neuron integration for PyTorch
☆41Updated last month
Alternatives and similar repositories for pytorch-spiking:
Users that are interested in pytorch-spiking are comparing it to the libraries listed below
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 years ago
- A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorph…☆65Updated 2 weeks ago
- Spyx: Spiking Neural Networks in JAX☆114Updated 6 months ago
- A library for deep learning with Spiking Neural Networks (SNN).☆29Updated this week
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆30Updated 10 months ago
- Deep learning for spiking neural networks☆69Updated last year
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆226Updated 9 months ago
- A curated list of materials for Spiking Neural Networks, 3rd generation of artificial neural networks.☆63Updated 2 years ago
- ☆90Updated last year
- Simulation of spiking neural networks (SNNs) using PyTorch.☆44Updated last year
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆34Updated 5 years ago
- Spiking neuron integration for Keras☆32Updated last month
- Long short-term memory Spiking Neural Networks☆102Updated 5 years ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 6 years ago
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆26Updated 3 months ago
- A brian2 extension to simulate spiking neural networks on GPUs☆63Updated 3 months ago
- Neuromorphic Intermediate Representation reference implementation☆102Updated 2 weeks ago
- Brian 2 frontend to the GeNN simulator☆47Updated 8 months ago
- Tutorial for surrogate gradient learning in spiking neural networks☆314Updated 9 months ago
- Learning to Learn: Gradient-free Optimization framework☆36Updated 3 years ago
- ☆21Updated 2 months ago
- CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…☆47Updated last week
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆60Updated 4 years ago
- ☆28Updated last year
- A deep learning library for spiking neural networks which is based on PyTorch, focuses on fast training and supports inference on neuromo…☆91Updated last month
- Liquid State Machines in Python and NEST☆71Updated 4 years ago
- ☆33Updated 5 years ago
- Implementation of feedback alignment learning in PyTorch☆31Updated last year
- 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
- This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform…☆83Updated last year