intel-nrc-ecosystem / modelsLinks
This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform.
☆83Updated 2 years ago
Alternatives and similar repositories for models
Users that are interested in models are comparing it to the libraries listed below
Sorting:
- Deep Learning library for Lava☆172Updated 2 weeks ago
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆58Updated 3 years ago
- Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.☆390Updated 3 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆102Updated 4 years ago
- ☆103Updated last year
- ☆46Updated 3 years ago
- Long short-term memory Spiking Neural Networks☆109Updated 5 years ago
- Collection of Spiking Neural Network applications for SNN Toolbox.☆34Updated 5 years ago
- Spiking Convolutional Neural Networks☆68Updated 7 years ago
- ☆42Updated 6 years ago
- Neuromorphic Intermediate Representation reference implementation☆146Updated last week
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆32Updated last year
- A list of neuromorphic software projects☆278Updated 6 months ago
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆59Updated 3 years ago
- 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
- Benchmark harness and baseline results for the NeuroBench algorithm track.☆104Updated 3 weeks ago
- PyTorch Implementation of Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses☆21Updated 4 years ago
- Quantization-aware training with spiking neural networks☆51Updated 3 years ago
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆33Updated last year
- Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symm…☆50Updated 5 years ago
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆231Updated last year
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆37Updated 4 years ago
- Event datasets and transforms.☆267Updated 3 months ago
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆64Updated 5 years ago
- A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorph…☆75Updated last week
- Run Nengo models on Intel's Loihi chip☆39Updated 10 months ago
- Plugin for Sinabs, implementing the EXODUS algorithm for training SNNs efficiently with BPTT☆30Updated 9 months ago
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆32Updated 3 years ago
- Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons☆13Updated 3 years ago
- PyTorch implementation of SLAYER for training Spiking Neural Networks☆325Updated 8 months ago