Alternatives and similar repositories for neural_sampling_machines

Users that are interested in neural_sampling_machines are comparing it to the libraries listed below

• nmi-lab / decolle-public
  ☆45Updated 3 years ago
• chan8972 / Enabling_Spikebased_Backpropagation
  ☆34Updated 5 years ago
• SRKH / S4NN
  Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…
  ☆62Updated 4 years ago
• DingJianhao / ANN2SNN
  ☆17Updated 3 years ago
• gorchard / event-Python
  Python code for event based vision
  ☆65Updated 5 years ago
• aa-samad / conv_snn
  Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper
  ☆132Updated 4 years ago
• tudelft / cuSNN
  Spiking Neural Networks in C++ with strong GPU acceleration through CUDA
  ☆129Updated 5 years ago
• IbrahimYang / Hybrid-neural-networks
  ☆38Updated last year
• nmi-lab / dcll
  ☆42Updated 5 years ago
• NeuroCompLab-psu / SNN-Conversion
  ☆38Updated 3 years ago
• nitin-rathi / hybrid-snn-conversion
  Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation
  ☆102Updated 4 years ago
• bamsumit / slayerPytorch
  PyTorch implementation of SLAYER for training Spiking Neural Networks
  ☆318Updated 2 months ago
• tavanaei / Spiking-CNN
  Spiking Convolutional Neural Networks
  ☆68Updated 6 years ago
• zbs881314 / Temporal-Coded-Deep-SNN
  ☆28Updated 4 years ago
• stonezwr / TSSL-BP
  Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.
  ☆71Updated last year
• KyungsuKim42 / ANTLR
  ☆16Updated 4 years ago
• neural-lab / ASF-BP
  ☆14Updated 3 years ago
• ChFrenkel / DirectRandomTargetProjection
  PyTorch-based code for training fully-connected and convolutional networks using backpropagation (BP), feedback alignment (FA), direct fe…
  ☆65Updated 4 years ago
• nmi-lab / torchneuromorphic
  Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors
  ☆31Updated last year
• Intelligent-Computing-Lab-Panda / BNTT-Batch-Normalization-Through-Time
  BNTT - Frontiers in Neuroscience (2021)
  ☆48Updated 3 years ago
• christophstoeckl / FS-neurons
  ☆55Updated 2 years ago
• pkuxmq / OTTT-SNN
  [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks
  ☆63Updated last year
• surrogate-gradient-learning / pytorch-lif-autograd
  ☆38Updated 3 years ago
• lyh983012 / ES-imagenet-master
  code for generating data set ES-ImageNet with corresponding training code
  ☆31Updated last year
• SayeedChowdhury / dct-snn
  Code for DCT_SNN, an input encoding scheme for SNNs using DCT
  ☆16Updated 3 years ago
• IGITUGraz / eligibility_propagation
  ☆93Updated last year
• XDUSPONGE / SNN_benchmark
  ☆253Updated 4 years ago
• Intelligent-Computing-Lab-Panda / NDA_SNN
  Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.
  ☆41Updated 2 years ago
• romainzimmer / s2net
  Supervised Spiking Network
  ☆81Updated 3 years ago
• Jackn0 / snn_optimal_conversion_pipeline
  Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks
  ☆33Updated 3 years ago