Alternatives and similar repositories for Rate-vs-Direct

Users that are interested in Rate-vs-Direct are comparing it to the libraries listed below

• brain-intelligence-lab / surrogate_module_learning
  Create a new backward path for more accurate SNN gradients.
  ☆16Updated 11 months ago
• Intelligent-Computing-Lab-Panda / Exploring-Temporal-Information-Dynamics-in-Spiking-Neural-Networks
  PyTorch Implementation of Exploring Temporal Information Dynamics in Spiking Neural Networks (AAAI23)
  ☆28Updated 2 years ago
• Intelligent-Computing-Lab-Panda / Neural-Architecture-Search-for-Spiking-Neural-Networks
  Neural Architecture Search for Spiking Neural Networks, ECCV2022
  ☆67Updated 3 years ago
• Intelligent-Computing-Lab-Panda / BNTT-Batch-Normalization-Through-Time
  BNTT - Frontiers in Neuroscience (2021)
  ☆48Updated 3 years ago
• Intelligent-Computing-Lab-Panda / NDA_SNN
  Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.
  ☆40Updated 2 years ago
• yfguo91 / MPBN
  Membrane Potential Batch Normalization for Spiking Neural Networks
  ☆19Updated last year
• pkuxmq / OTTT-SNN
  [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks
  ☆63Updated last year
• putshua / SNN_attack_RGA
  codes of the paper Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks (CVPR 2023)
  ☆17Updated 11 months ago
• ridgerchu / TCJA
  [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"
  ☆56Updated last year
• CAS-CLab / Gated-LIF
  GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster
  ☆51Updated 2 years ago
• hzc1208 / ANN2SNN_SRP
  ☆24Updated 2 years ago
• fangwei123456 / Spike-Element-Wise-ResNet
  Deep Residual Learning in Spiking Neural Networks
  ☆170Updated 2 years ago
• KyungsuKim42 / ANTLR
  ☆16Updated 4 years ago
• DingJianhao / OptSNNConvertion-RNL-RIL
  ☆29Updated last year
• nitin-rathi / hybrid-snn-conversion
  Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation
  ☆101Updated 4 years ago
• yhhhli / SNN_Calibration
  Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021
  ☆87Updated last year
• stonezwr / TSSL-BP
  Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.
  ☆71Updated last year
• aa-samad / conv_snn
  Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper
  ☆132Updated 4 years ago
• putshua / SNN_conversion_QCFS
  ☆53Updated last year
• qymeng94 / SLTT
  [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks
  ☆43Updated last year
• jeshraghian / snn-tha
  Threshold annealing in binarized spiking neural networks
  ☆16Updated 3 years ago
• Fatma-Chaouech / STDP-based-DCNN
  Reimplementation of the paper "STDP-based spiking deep convolutional neural networks for object recognition"
  ☆15Updated 2 years ago
• Ariande1 / MS-ResNet
  Advancing Spiking Neural Networks towards Deep Residual Learning
  ☆52Updated 3 months ago
• Tab-ct / rate-based-backpropagation
  [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation
  ☆17Updated 6 months ago
• Tab-ct / STSC-SNN
  STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks
  ☆23Updated 2 years ago
• fangwei123456 / Parametric-Leaky-Integrate-and-Fire-Spiking-Neuron
  Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks
  ☆109Updated 2 years ago
• qymeng94 / DSR
  [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation
  ☆51Updated 2 years ago
• yfguo91 / Awesome-Spiking-Neural-Networks
  Awesome Spiking Neural Networks
  ☆134Updated 3 months ago
• Jackn0 / snn_optimal_conversion_pipeline
  Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks
  ☆33Updated 3 years ago
• Intelligent-Computing-Lab-Panda / SEENN
  Pytorch implementation of SEENN (Spiking Early Exit Neural Networks) (NeurIPS 2023)
  ☆16Updated 8 months ago