norse / notebooks
Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.
☆29Updated 9 months ago
Alternatives and similar repositories for notebooks:
Users that are interested in notebooks are comparing it to the libraries listed below
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆51Updated 3 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆42Updated 7 months ago
- Long short-term memory Spiking Neural Networks☆102Updated 5 years ago
- ☆89Updated last year
- Benchmark harness and baseline results for the NeuroBench algorithm track.☆75Updated last week
- A library for deep learning with Spiking Neural Networks (SNN).☆28Updated this week
- This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform…☆83Updated last year
- A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorph…☆62Updated last month
- ☆29Updated 2 months ago
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆28Updated 2 years ago
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆34Updated 6 months ago
- Neuromorphic Intermediate Representation reference implementation☆97Updated 2 weeks ago
- ☆45Updated 2 years ago
- Coding projects by the community for the community☆16Updated last month
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆30Updated 10 months ago
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆50Updated 2 years ago
- Collection of Spiking Neural Network applications for SNN Toolbox.☆31Updated 4 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 years ago
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆24Updated 2 months ago
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆34Updated 3 years ago
- The biologically plausible self backpropagation on SNNs and ANNs☆12Updated 3 years ago
- Official implementation of "Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings" [ICLR2024]☆56Updated 10 months ago
- Spiking Convolutional Neural Networks☆66Updated 6 years ago
- ☆22Updated last year
- A Loihi emulator based on Brian2☆26Updated 3 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆79Updated 2 years ago
- A deep learning library for spiking neural networks which is based on PyTorch, focuses on fast training and supports inference on neuromo…☆89Updated this 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
- ☆36Updated 3 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆99Updated 3 years ago