intel-nrc-ecosystem / models
This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform.
☆81Updated last year
Related projects ⓘ
Alternatives and complementary repositories for models
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆97Updated 3 years ago
- Deep Learning library for Lava☆154Updated this week
- List of open source neuromorphic projects: SNN training frameworks, DVS handling routines and so on.☆183Updated 10 months ago
- Long short-term memory Spiking Neural Networks☆99Updated 4 years ago
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆49Updated 2 years ago
- Plugin for Sinabs, implementing the EXODUS algorithm for training SNNs efficiently with BPTT☆27Updated 3 months ago
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆32Updated 3 years ago
- ☆43Updated 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…☆81Updated last week
- ☆42Updated 5 years ago
- Collection of Spiking Neural Network applications for SNN Toolbox.☆30Updated 4 years ago
- ☆36Updated 3 years ago
- ☆87Updated 8 months ago
- Repository for the master thesis titled "Local Unsupervised Learning of Multimodal Event-Based Data with Spiking Neural Networks", by Jul…☆21Updated 2 years ago
- Neuromorphic Intermediate Representation reference implementation☆81Updated last week
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆76Updated last year
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆26Updated 5 months ago
- Benchmark harness and baseline results for the NeuroBench algorithm track.☆64Updated this week
- Spiking Convolutional Neural Networks☆64Updated 5 years ago
- Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symm…☆47Updated 4 years ago
- Run Nengo models on Intel's Loihi chip☆35Updated 8 months ago
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆59Updated 3 years ago
- A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorph…☆53Updated last week
- ☆20Updated last month
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆26Updated 2 years ago
- ☆67Updated 3 years ago
- Publicly available event datasets and transforms.☆211Updated 2 months ago
- A toolbox for neuromorphic sensing in robotics.☆16Updated 3 years ago
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆29Updated 7 months ago
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆28Updated 2 months ago