Alternatives and similar repositories for SNN-RAT

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

• xyshi2000 / Unstructured-Pruning
  Codes of the paper: Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework (ICLR2024)
  ☆14Updated last year
• brain-intelligence-lab / temporal_efficient_training
  Code for temporal efficient training
  ☆64Updated 3 months ago
• qymeng94 / SLTT
  [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks
  ☆43Updated 2 years ago
• putshua / ANN_SNN_QCFS
  Code for paper "Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks"
  ☆31Updated 2 years ago
• putshua / SNN_conversion_QCFS
  ☆56Updated 2 years ago
• qymeng94 / DSR
  [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation
  ☆51Updated 2 years ago
• liangling76 / snn_attack
  ☆13Updated 3 years ago
• jeshraghian / snn-tha
  Threshold annealing in binarized spiking neural networks
  ☆16Updated 3 years ago
• hzc1208 / ANN2SNN_COS
  ☆16Updated 2 years ago
• thiswinex / STBP-simple
  A simple direct training implement for SNNs using Spatio-Temporal Backpropagation
  ☆90Updated 2 years ago
• fangwei123456 / Parametric-Leaky-Integrate-and-Fire-Spiking-Neuron
  Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks
  ☆112Updated 3 years ago
• iCGY96 / syops-counter
  SyOPs counter for spiking neural networks
  ☆67Updated 2 years ago
• nguyenhongson1902 / direct-training-snn
  This project used STBP-tdBN method to directly train Deep Spiking Neural Networks from scratch with PyTorch
  ☆35Updated 2 years ago
• yjwu17 / STBP-for-training-SpikingNN
  Spatio-temporal BP for SNNs
  ☆232Updated 3 years ago
• hzc1208 / ANN2SNN_SRP
  ☆25Updated 2 years ago
• ksouvik52 / hiresnn2021
  ☆12Updated 3 years ago
• Intelligent-Computing-Lab-Panda / NDA_SNN
  Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.
  ☆43Updated 2 years ago
• DingJianhao / OptSNNConvertion-RNL-RIL
  ☆30Updated 2 years ago
• putshua / SNN_attack_RGA
  codes of the paper Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks (CVPR 2023)
  ☆17Updated last year
• ppppps / SNN-learning-methods-papers
  该仓库主要收录了顶会中SNN领域的一些论文，论文内容与代理梯度和ANN-SNN转换相关。
  ☆18Updated 3 years ago
• nitin-rathi / hybrid-snn-conversion
  Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation
  ☆102Updated 4 years ago
• nitin-rathi / DIET-SNN
  Optimizing threshold and leak in LIF neurons with end-to-end backpropagation
  ☆20Updated 4 years ago
• pkuxmq / OTTT-SNN
  [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks
  ☆64Updated last year
• fangwei123456 / Spike-Element-Wise-ResNet
  Deep Residual Learning in Spiking Neural Networks
  ☆182Updated 3 years ago
• Tab-ct / rate-based-backpropagation
  [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation
  ☆18Updated 9 months ago
• Jackn0 / must-read-papers-on-snn
  Collect important papers about snn
  ☆32Updated 4 years ago
• Jackn0 / snn_optimal_conversion_pipeline
  Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks
  ☆33Updated 3 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
• zbs881314 / Temporal-Coded-Deep-SNN
  ☆28Updated 4 years ago
• Ariande1 / MS-ResNet
  Advancing Spiking Neural Networks towards Deep Residual Learning
  ☆58Updated 6 months ago