lkriener / yin_yang_data_setLinks
This small deep learning dataset was developed for research on biologically plausible error-backpropagation and deep learning in spiking neural networks.
☆29Updated 7 months ago
Alternatives and similar repositories for yin_yang_data_set
Users that are interested in yin_yang_data_set are comparing it to the libraries listed below
Sorting:
- Neuromorphic Intermediate Representation reference implementation☆119Updated last week
- Benchmark harness and baseline results for the NeuroBench algorithm track.☆86Updated last week
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆62Updated 4 years ago
- ☆93Updated last year
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆53Updated 3 years ago
- ☆45Updated 3 years ago
- A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorph…☆71Updated last month
- PyTorch helper module to translate to and from NIR☆13Updated this week
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆55Updated 2 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆325Updated last year
- jaxsnn is an event-based approach to machine-learning-inspired training and simulation of SNNs, including support for the BrainScaleS-2 n…☆21Updated this week
- Sends event camera data from A to B. Supports live cameras and dead recordings☆14Updated this week
- ☆81Updated last year
- Tutorial for surrogate gradient learning in spiking neural networks☆46Updated 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
- Long short-term memory Spiking Neural Networks☆102Updated 5 years ago
- Event datasets and transforms.☆252Updated 2 months ago
- Training Recurrent Neural Networks via Forward Propagation Through Time☆41Updated 4 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆50Updated 4 years ago
- This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform…☆84Updated last year
- CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…☆49Updated this week
- Spyx: Spiking Neural Networks in JAX☆124Updated 9 months ago
- ☆31Updated 7 months ago
- Supervised Spiking Network☆81Updated 3 years ago
- ☆25Updated 2 years ago
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆229Updated last year
- A curated list of materials for Spiking Neural Networks, 3rd generation of artificial neural networks.☆65Updated 2 years ago
- ☆44Updated last year
- This is a repository with implementations of neuron models, synapses, and spiking neural networks (SNN). It's still in development and it…☆31Updated 5 years ago