GiorgiaD / PEPITALinks
☆29Updated 3 years ago
Alternatives and similar repositories for PEPITA
Users that are interested in PEPITA are comparing it to the libraries listed below
Sorting:
- Training Recurrent Neural Networks via Forward Propagation Through Time☆41Updated 4 years ago
- ☆93Updated last year
- ☆84Updated last year
- Tutorial for surrogate gradient learning in spiking neural networks☆326Updated last year
- Spyx: Spiking Neural Networks in JAX☆124Updated 10 months ago
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆229Updated last year
- Neuromorphic Intermediate Representation reference implementation☆123Updated 2 weeks ago
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆53Updated 3 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆51Updated 4 years ago
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆32Updated last year
- BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms☆51Updated last year
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆55Updated 2 years ago
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆26Updated 7 months ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆43Updated last year
- Neurons learn by predicting future activity☆29Updated 3 years ago
- Deep learning with spiking neural networks (SNNs) in PyTorch.☆757Updated last month
- High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.☆393Updated 3 years ago
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆159Updated 4 years ago
- ☆25Updated 2 years ago
- A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorph…☆73Updated last month
- A curated list of materials for Spiking Neural Networks, 3rd generation of artificial neural networks.☆66Updated 3 years ago
- 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
- A list of neuromorphic software projects☆245Updated last month
- A library for deep learning with Spiking Neural Networks (SNN).☆34Updated 2 weeks ago
- Cosyne workshop tutorial 2022☆121Updated 2 years ago
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆40Updated 2 years ago
- Benchmark harness and baseline results for the NeuroBench algorithm track.☆89Updated last month
- Event datasets and transforms.☆255Updated 3 months ago
- ☆19Updated 2 years ago
- PyTorch helper module to translate to and from NIR☆15Updated this week