IGITUGraz / eligibility_propagationLinks
☆94Updated last year
Alternatives and similar repositories for eligibility_propagation
Users that are interested in eligibility_propagation are comparing it to the libraries listed below
Sorting:
- Long short-term memory Spiking Neural Networks☆103Updated 5 years ago
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆53Updated 3 years ago
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆56Updated 2 years ago
- ☆31Updated 8 months ago
- ☆45Updated 3 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆327Updated last year
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆229Updated last year
- ☆38Updated 3 years ago
- Spiking Convolutional Neural Networks☆68Updated 6 years ago
- PyTorch implementation of SLAYER for training Spiking Neural Networks☆320Updated 3 months 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
- Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.☆382Updated 2 years ago
- Training Recurrent Neural Networks via Forward Propagation Through Time☆42Updated 4 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆82Updated 2 years ago
- Basic SNN propogating spikes between LIF neurons☆86Updated 7 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆47Updated last year
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆32Updated last year
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆31Updated last year
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆52Updated 4 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆102Updated 4 years ago
- High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.☆394Updated 4 years ago
- The biologically plausible self backpropagation on SNNs and ANNs☆12Updated 4 years ago
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆166Updated 6 years ago
- A library for deep learning with Spiking Neural Networks (SNN).☆34Updated last week
- Benchmark harness and baseline results for the NeuroBench algorithm track.☆92Updated last month
- What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural net…☆269Updated 2 years ago
- Neuromorphic Intermediate Representation reference implementation☆128Updated last month
- Event datasets and transforms.☆256Updated 3 months ago
- This repo is the implementation of the spatio-temporal credit assignment (STCA) algorithm for training deep spiking neural networks.☆27Updated 6 years ago
- ☆42Updated 6 years ago