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.
  ☆17Updated last year
• Intelligent-Computing-Lab-Panda / Exploring-Temporal-Information-Dynamics-in-Spiking-Neural-Networks
  PyTorch Implementation of Exploring Temporal Information Dynamics in Spiking Neural Networks (AAAI23)
  ☆31Updated 2 years ago
• yfguo91 / MPBN
  Membrane Potential Batch Normalization for Spiking Neural Networks
  ☆19Updated 2 years ago
• Intelligent-Computing-Lab-Panda / NDA_SNN
  Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.
  ☆44Updated 2 years ago
• Intelligent-Computing-Lab-Panda / Neural-Architecture-Search-for-Spiking-Neural-Networks
  Neural Architecture Search for Spiking Neural Networks, ECCV2022
  ☆69Updated 3 years ago
• Intelligent-Computing-Lab-Panda / BNTT-Batch-Normalization-Through-Time
  BNTT - Frontiers in Neuroscience (2021)
  ☆48Updated 4 years ago
• pkuxmq / OTTT-SNN
  [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks
  ☆65Updated last year
• CAS-CLab / Gated-LIF
  GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster
  ☆53Updated 2 years ago
• Tab-ct / rate-based-backpropagation
  [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation
  ☆19Updated 10 months ago
• nitin-rathi / hybrid-snn-conversion
  Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation
  ☆103Updated 4 years ago
• yhhhli / SNN_Calibration
  Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021
  ☆92Updated last year
• byin-cwi / SRNN-ICONs2020
  In this repo, Spiking recurrent neural network is applied on various task for ICONs2020
  ☆29Updated 4 years ago
• ridgerchu / TCJA
  [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"
  ☆60Updated last year
• putshua / SNN_attack_RGA
  codes of the paper Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks (CVPR 2023)
  ☆17Updated last year
• qymeng94 / SLTT
  [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks
  ☆43Updated 2 years ago
• jeshraghian / snn-tha
  Threshold annealing in binarized spiking neural networks
  ☆16Updated 3 years ago
• neural-lab / ASF-BP
  ☆14Updated 3 years ago
• DingJianhao / OptSNNConvertion-RNL-RIL
  ☆31Updated 2 years ago
• putshua / SNN_conversion_QCFS
  ☆57Updated 2 years ago
• nitin-rathi / DIET-SNN
  Optimizing threshold and leak in LIF neurons with end-to-end backpropagation
  ☆20Updated 4 years ago
• fangwei123456 / Spike-Element-Wise-ResNet
  Deep Residual Learning in Spiking Neural Networks
  ☆184Updated 3 years ago
• nabk89 / AutoSNN
  Official code of "AutoSNN: Towards Energy-Efficient Spiking Neural Networks," ICML22
  ☆18Updated 3 years ago
• stonezwr / TSSL-BP
  Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.
  ☆72Updated last year
• Ariande1 / MS-ResNet
  Advancing Spiking Neural Networks towards Deep Residual Learning
  ☆60Updated 7 months ago
• KyungsuKim42 / ANTLR
  ☆17Updated 4 years ago
• hzc1208 / ANN2SNN_SRP
  ☆25Updated 2 years ago
• zbs881314 / Temporal-Coded-Deep-SNN
  ☆29Updated 4 years ago
• Fatma-Chaouech / STDP-based-DCNN
  Reimplementation of the paper "STDP-based spiking deep convolutional neural networks for object recognition"
  ☆16Updated 2 years ago
• christophstoeckl / FS-neurons
  ☆55Updated 2 years ago
• qymeng94 / DSR
  [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation
  ☆53Updated 3 years ago