Alternatives and similar repositories for dcll:

Users that are interested in dcll 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
• surrogate-gradient-learning / pytorch-lif-autograd
  ☆37Updated 3 years ago
• nmi-lab / decolle-public
  ☆45Updated 2 years ago
• tavanaei / Spiking-CNN
  Spiking Convolutional Neural Networks
  ☆67Updated 6 years ago
• NeuroCompLab-psu / SNN-Conversion
  ☆37Updated 3 years ago
• stonezwr / TSSL-BP
  Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.
  ☆70Updated 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
• nmi-lab / torchneuromorphic
  Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors
  ☆31Updated last year
• hewh16 / SNNs-RNNs
  The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.
  ☆52Updated 3 years ago
• NeuromorphicProcessorProject / snntoolbox_applications
  Collection of Spiking Neural Network applications for SNN Toolbox.
  ☆31Updated 5 years ago
• IGITUGraz / LSNN-official
  Long short-term memory Spiking Neural Networks
  ☆102Updated 5 years ago
• thiswinex / STBP-simple
  A simple direct training implement for SNNs using Spatio-Temporal Backpropagation
  ☆85Updated 2 years ago
• alishdipani / NMNIST-STDP-SpiNNaker
  A Spiking Neural Network model for Digit Recognition using the N-MNIST dataset.
  ☆19Updated 4 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
• byin-cwi / Efficient-spiking-networks
  Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT
  ☆81Updated 2 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
• christophstoeckl / FS-neurons
  ☆53Updated 2 years ago
• AliLotfi92 / SNNLSTM
  Implementation of Long Short Term Spiking NN
  ☆39Updated 2 years ago
• SRKH / S4NN
  Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…
  ☆60Updated 4 years ago
• zhouyanasd / DL-NC
  spiking-neural-networks
  ☆37Updated 3 months ago
• markstrefford / Spiking-Neural-Network
  Basic SNN propogating spikes between LIF neurons
  ☆84Updated 6 years ago
• byin-cwi / SRNN-ICONs2020
  In this repo, Spiking recurrent neural network is applied on various task for ICONs2020
  ☆29Updated 4 years ago
• Jackn0 / snn_optimal_conversion_pipeline
  Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks
  ☆33Updated 3 years ago
• laurence-lin / tempotron
  a spiking neural network module, tempotron for classification
  ☆17Updated 4 years ago
• IGITUGraz / eligibility_propagation
  ☆90Updated 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 8 months ago
• pkuxmq / OTTT-SNN
  [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks
  ☆60Updated last year
• npvoid / neural_heterogeneity
  ☆30Updated 3 months ago
• aa-samad / conv_snn
  Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper
  ☆127Updated 4 years ago
• saunak1994 / SNNforMNIST
  A Spiking Neural Network Architecture for MNIST Digit Recognition
  ☆32Updated 6 years ago