Alternatives and similar repositories for mnist-pygenn

Users that are interested in mnist-pygenn are comparing it to the libraries listed below

• MaxwellWjj / Resume_SNN
  training SNN with Resume algorithm
  ☆11Updated 5 years ago
• zxzhijia / Brian2STDPMNIST
  Brian 2 version of Paper "Unsupervised Learning of digit recognition using STDP"
  ☆134Updated 4 years ago
• 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.
  ☆44Updated last year
• tavanaei / Spiking-CNN
  Spiking Convolutional Neural Networks
  ☆68Updated 6 years ago
• alishdipani / NMNIST-STDP-SpiNNaker
  A Spiking Neural Network model for Digit Recognition using the N-MNIST dataset.
  ☆18Updated 5 years ago
• 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…
  ☆48Updated 4 years ago
• stonezwr / TSSL-BP
  Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.
  ☆71Updated last year
• 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 …
  ☆30Updated 3 years ago
• djsaunde / lm-snn
  Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.
  ☆167Updated 6 years ago
• duanqingxi / NCOMMS-20-02976
  ☆14Updated 5 years ago
• nmi-lab / decolle-public
  ☆45Updated 3 years ago
• NeuroCompLab-psu / SNN-Conversion
  ☆38Updated 3 years ago
• k18shruti / SNN-for-Pattern-Recognition
  A 3-layer SNN code for performing MNIST handwritten digit recognition using a supervised spike based learning rule
  ☆16Updated 6 years ago
• SayeedChowdhury / dct-snn
  Code for DCT_SNN, an input encoding scheme for SNNs using DCT
  ☆17Updated 4 years ago
• zhouyanasd / DL-NC
  spiking-neural-networks
  ☆37Updated last week
• nitin-rathi / hybrid-snn-conversion
  Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation
  ☆102Updated 4 years ago
• syntapy / normad
  Python2 / Brian2 implementation (attempt) of Normalized Approximate Descent based Supervised Learning Rule.
  ☆12Updated 2 years ago
• QQQYang / snn
  construct a spiking neural network
  ☆23Updated 7 years ago
• XDUSPONGE / SNN_benchmark
  ☆255Updated 4 years ago
• NeuromorphicProcessorProject / snn_toolbox
  Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.
  ☆382Updated 2 years ago
• HantaoShu / SNN-MNIST
  a simple snn model in matlab
  ☆22Updated 9 years ago
• nmi-lab / dcll
  ☆42Updated 6 years ago
• npvoid / SDNN_python
  ☆70Updated 4 years ago
• peter-u-diehl / stdp-mnist
  ☆351Updated 3 years ago
• christophstoeckl / FS-neurons
  ☆55Updated 2 years ago
• byin-cwi / Efficient-spiking-networks
  Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT
  ☆83Updated 2 years ago
• roshan-gopalakrishnan / NeuromorphicComputing
  Software framework for Designing and Mapping a CNN onto neuromorphic chip with crossbar array of synapses.
  ☆11Updated 5 years ago
• aa-samad / conv_snn
  Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper
  ☆134Updated 4 years ago
• SayeedChowdhury / IIR-SNN
  ☆18Updated 2 years ago
• hewh16 / SNNs-RNNs
  The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.
  ☆52Updated 4 years ago