Dengyu-Wu / spkerasLinks
Conversion from CNNs to SNNs using Tensorflow-Keras
☆38Updated last year
Alternatives and similar repositories for spkeras
Users that are interested in spkeras are comparing it to the libraries listed below
Sorting:
- Neuromorphic paper list, automatically updating everyday at 8:00 am GMT.☆48Updated this week
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆37Updated 4 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆103Updated 4 years ago
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆45Updated last year
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆55Updated 3 years ago
- Implementation of the paper Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks☆33Updated last year
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆83Updated 2 years ago
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆59Updated 2 years ago
- Reimplementation of the paper "STDP-based spiking deep convolutional neural networks for object recognition"☆16Updated 2 years ago
- Collection of Spiking Neural Network applications for SNN Toolbox.☆34Updated 5 years ago
- PyTorch and Loihi implementation of the Spiking Neural Network for decoding EEG on Neuromorphic Hardware☆47Updated 3 years ago
- Threshold annealing in binarized spiking neural networks☆16Updated 3 years ago
- Quantization-aware training with spiking neural networks☆51Updated 3 years ago
- FPGA based Leaky Integrate and Fire (LIF) neuron model accelerator for PyTorch☆96Updated this week
- This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform…☆84Updated 2 years ago
- STBP is a way to train SNN with datasets by Backward propagation.Using this Repositories allows you to train SNNS with STBP and quantize …☆30Updated 3 years ago
- Basic SNN propogating spikes between LIF neurons☆86Updated 7 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆46Updated last year
- Long short-term memory Spiking Neural Networks☆107Updated 5 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆72Updated last year
- Implementation of Long Short Term Spiking NN☆39Updated 3 years ago
- Spiking Convolutional Neural Networks☆68Updated 7 years ago
- ☆46Updated 3 years ago
- 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
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆89Updated 2 years ago
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆31Updated 3 years ago
- Code for the model presented in the paper "LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recogniti…☆12Updated 5 years ago
- Benchmark harness and baseline results for the NeuroBench algorithm track.☆101Updated 4 months ago
- Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper☆134Updated 5 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