norse / notebooksLinks
Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.
☆33Updated last year
Alternatives and similar repositories for notebooks
Users that are interested in notebooks are comparing it to the libraries listed below
Sorting:
- Tutorial for surrogate gradient learning in spiking neural networks☆343Updated last year
- This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform…☆84Updated 2 years 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
- Long short-term memory Spiking Neural Networks☆106Updated 5 years ago
- Neuromorphic Intermediate Representation reference implementation☆137Updated 2 weeks ago
- ☆97Updated last year
- Event datasets and transforms.☆261Updated 3 weeks ago
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆231Updated last year
- Deep Learning library for Lava☆165Updated 3 months ago
- A library for deep learning with Spiking Neural Networks (SNN).☆35Updated this week
- A deep learning library for spiking neural networks which is based on PyTorch, focuses on fast training and supports inference on neuromo…☆108Updated this week
- A list of neuromorphic software projects☆267Updated 4 months ago
- Tutorial for surrogate gradient learning in spiking neural networks☆46Updated last year
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆58Updated 2 years ago
- Cosyne workshop tutorial 2022☆124Updated 3 years ago
- Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.☆386Updated 2 years ago
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆55Updated 3 years ago
- Benchmark harness and baseline results for the NeuroBench algorithm track.☆100Updated 3 months ago
- PyTorch implementation of SLAYER for training Spiking Neural Networks☆323Updated 5 months ago
- High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.☆395Updated 4 years ago
- Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symm…☆49Updated 5 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
- Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons☆13Updated 2 years ago
- ☆46Updated 3 years ago
- Coding projects by the community for the community☆27Updated last month
- ☆31Updated 2 months ago
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆168Updated 6 years ago
- Official implementation of "Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings" [ICLR2024]☆64Updated last year
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆45Updated last year
- A curated list of materials for Spiking Neural Networks, 3rd generation of artificial neural networks.☆68Updated 3 years ago