Efficient-Scalable-Machine-Learning / event-ssm
Official implementation of our paper "Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models"
☆13Updated 11 months ago
Alternatives and similar repositories for event-ssm
Users that are interested in event-ssm are comparing it to the libraries listed below
Sorting:
- Training Recurrent Neural Networks via Forward Propagation Through Time☆41Updated 3 years ago
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆53Updated 2 years ago
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆51Updated 3 years ago
- ☆90Updated last year
- Long short-term memory Spiking Neural Networks☆102Updated 5 years ago
- ☆30Updated 4 months ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆81Updated 2 years ago
- Threshold annealing in binarized spiking neural networks☆16Updated 2 years ago
- ☆45Updated 2 years ago
- Implementation of eventprop learning in GeNN☆13Updated 4 months ago
- Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons☆12Updated 2 years ago
- Implementation of Long Short Term Spiking NN☆39Updated 2 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆44Updated 9 months ago
- Deep Spiking Reinforcement Learning☆24Updated last year
- Neuromorphic Intermediate Representation reference implementation☆102Updated last week
- Benchmark harness and baseline results for the NeuroBench algorithm track.☆78Updated last week
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆107Updated 2 years ago
- Event-based neural networks☆27Updated 10 months ago
- A library for deep learning with Spiking Neural Networks (SNN).☆29Updated last week
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆30Updated 11 months ago
- Plugin for Sinabs, implementing the EXODUS algorithm for training SNNs efficiently with BPTT☆27Updated last month
- Neuromorphic paper list, automatically updating everyday at 8:00 am GMT.☆41Updated this week
- Repository for the master thesis titled "Local Unsupervised Learning of Multimodal Event-Based Data with Spiking Neural Networks", by Jul…☆23Updated 2 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 years ago
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆34Updated 3 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆60Updated last year
- PyTorch helper module to translate to and from NIR☆12Updated 2 weeks ago
- Neuron-Astrocyte Liquid State Machine☆19Updated 3 years ago
- jaxsnn is an event-based approach to machine-learning-inspired training and simulation of SNNs, including support for the BrainScaleS-2 n…☆17Updated last month
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆31Updated last year