electronicvisions / norseLinks
Deep learning for spiking neural networks
☆69Updated last year
Alternatives and similar repositories for norse
Users that are interested in norse are comparing it to the libraries listed below
Sorting:
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆52Updated 5 years ago
- ☆143Updated 4 years ago
- Deep learning integration for Nengo☆92Updated 8 months ago
- Spiking neuron integration for PyTorch☆41Updated 8 months ago
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆231Updated last year
- Spyx: Spiking Neural Networks in JAX☆126Updated last year
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆33Updated last year
- Tutorial for surrogate gradient learning in spiking neural networks☆343Updated last year
- High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.☆395Updated 4 years ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆44Updated last year
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆37Updated 5 years ago
- Spiking neuron integration for Keras☆32Updated 8 months ago
- A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorph…☆74Updated 2 weeks ago
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆163Updated 4 years ago
- Learning to Learn: Gradient-free Optimization framework☆36Updated 4 years ago
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆62Updated 4 years ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆58Updated 7 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
- Supervised Spiking Network☆81Updated 3 years ago
- Run Nengo models on Intel's Loihi chip☆39Updated 8 months ago
- Polished code for "Can a single neuron solve MNIST? The computational power of biological dendritic trees”☆48Updated 5 years ago
- Liquid State Machines in Python and NEST☆75Updated 5 years ago
- Long short-term memory Spiking Neural Networks☆106Updated 5 years ago
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆28Updated 10 months ago
- Deep learning with spiking neural networks (SNNs) in PyTorch.☆772Updated last month
- Code behind the work "Single Cortical Neurons as Deep Artificial Neural Networks", published in Neuron 2021☆158Updated 4 years ago
- Neuromorphic Intermediate Representation reference implementation☆137Updated 2 weeks ago
- This small deep learning dataset was developed for research on biologically plausible error-backpropagation and deep learning in spiking …☆29Updated 10 months ago
- What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural net…☆274Updated 3 years ago
- Neurons learn by predicting future activity☆30Updated 4 years ago