Alternatives and similar repositories for SNN-Conversion:

Users that are interested in SNN-Conversion are comparing it to the libraries listed below

• nitin-rathi / hybrid-snn-conversion
  Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation
  ☆100Updated 4 years ago
• nmi-lab / dcll
  ☆42Updated 5 years ago
• ZLkanyo009 / STBP-train-and-compression
  STBP is a way to train SNN with datasets by Backward propagation.Using this Repositories allows you to train SNNS with STBP and quantize …
  ☆28Updated 3 years ago
• Jackn0 / snn_optimal_conversion_pipeline
  Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks
  ☆33Updated 3 years ago
• christophstoeckl / FS-neurons
  ☆53Updated 2 years ago
• DingJianhao / ANN2SNN
  ☆17Updated 3 years ago
• nmi-lab / decolle-public
  ☆45Updated 2 years ago
• yhhhli / SNN_Calibration
  Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021
  ☆86Updated 11 months ago
• pkuxmq / OTTT-SNN
  [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks
  ☆60Updated last year
• tavanaei / Spiking-CNN
  Spiking Convolutional Neural Networks
  ☆67Updated 6 years ago
• stonezwr / TSSL-BP
  Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.
  ☆69Updated last year
• SayeedChowdhury / IIR-SNN
  ☆17Updated 2 years ago
• NeuromorphicProcessorProject / snntoolbox_applications
  Collection of Spiking Neural Network applications for SNN Toolbox.
  ☆31Updated 5 years ago
• alishdipani / NMNIST-STDP-SpiNNaker
  A Spiking Neural Network model for Digit Recognition using the N-MNIST dataset.
  ☆19Updated 4 years ago
• MXHX7199 / SNN-SSTDP
  SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.
  ☆34Updated 3 years ago
• thiswinex / STBP-simple
  A simple direct training implement for SNNs using Spatio-Temporal Backpropagation
  ☆85Updated 2 years ago
• Intelligent-Computing-Lab-Yale / BNTT-Batch-Normalization-Through-Time
  BNTT - Frontiers in Neuroscience (2021)
  ☆47Updated 3 years ago
• Intelligent-Computing-Lab-Yale / NDA_SNN
  Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.
  ☆37Updated 2 years ago
• putshua / SNN_conversion_QCFS
  ☆52Updated last year
• cowolff / Simple-Spiking-Neural-Network-STDP
  A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.
  ☆39Updated 7 months ago
• qymeng94 / DSR
  [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation
  ☆50Updated 2 years ago
• Intelligent-Computing-Lab-Yale / Neural-Architecture-Search-for-Spiking-Neural-Networks
  Neural Architecture Search for Spiking Neural Networks, ECCV2022
  ☆67Updated 2 years ago
• nitin-rathi / DIET-SNN
  Optimizing threshold and leak in LIF neurons with end-to-end backpropagation
  ☆17Updated 3 years ago
• zbs881314 / Temporal-Coded-Deep-SNN
  ☆28Updated 4 years ago
• sujay-pandit / spiking-neural-networks-mnist-classification
  Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)
  ☆28Updated 3 years ago
• byin-cwi / Efficient-spiking-networks
  Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT
  ☆81Updated 2 years ago
• Intelligent-Computing-Lab-Yale / SpikeSim
  ☆33Updated last year
• surrogate-gradient-learning / pytorch-lif-autograd
  ☆37Updated 3 years ago
• IGITUGraz / eligibility_propagation
  ☆90Updated last year
• haoyz / sym-STDP-SNN
  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