Alternatives and similar repositories for ANN2SNN_COS:

Users that are interested in ANN2SNN_COS are comparing it to the libraries listed below

• Intelligent-Computing-Lab-Yale / SNNCKA
  Pytorch implementation of ANN-SNN representation similarity analysis (TMLR 2023)
  ☆13Updated last year
• qymeng94 / SLTT
  [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks
  ☆38Updated last year
• putshua / SNN_conversion_QCFS
  ☆51Updated last year
• fangwei123456 / Parallel-Spiking-Neuron
  ☆47Updated 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
• yfguo91 / MPBN
  Membrane Potential Batch Normalization for Spiking Neural Networks
  ☆20Updated last year
• Intelligent-Computing-Lab-Yale / NDA_SNN
  Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.
  ☆37Updated 2 years ago
• 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 2 years ago
• hzc1208 / ANN2SNN_SRP
  ☆25Updated 2 years ago
• brain-intelligence-lab / surrogate_module_learning
  Create a new backward path for more accurate SNN gradients.
  ☆16Updated 7 months ago
• Ariande1 / MS-ResNet
  Advancing Spiking Neural Networks towards Deep Residual Learning
  ☆48Updated last year
• xyshi2000 / Unstructured-Pruning
  Codes of the paper: Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework (ICLR2024)
  ☆10Updated last year
• DingJianhao / OptSNNConvertion-RNL-RIL
  ☆29Updated last year
• iCGY96 / syops-counter
  SyOPs counter for spiking neural networks
  ☆56Updated last year
• Intelligent-Computing-Lab-Yale / Exploring-Temporal-Information-Dynamics-in-Spiking-Neural-Networks
  PyTorch Implementation of Exploring Temporal Information Dynamics in Spiking Neural Networks (AAAI23)
  ☆28Updated 2 years ago
• qymeng94 / DSR
  [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation
  ☆51Updated 2 years ago
• putshua / ANN_SNN_QCFS
  Code for paper "Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks"
  ☆27Updated last year
• brain-intelligence-lab / temporal_efficient_training
  Code for temporal efficient training
  ☆59Updated 7 months ago
• BICLab / ASA-SNN
  Offical implementation of "Inherent Redundancy in Spiking Neural Networks" (ICCV2023)
  ☆27Updated last year
• Huawei-BIC / SpikeDHS
  This is the official code for our paper "Differentiable Hierarchical and Surrogate Gradient Search for Spiking Neural Networks, NeurIPS 2…
  ☆14Updated last year
• mi804 / RevSNN
  ☆16Updated last year
• zju-bmi-lab / Fast-SNN
  ☆60Updated last year
• yfguo91 / Ternary-Spike
  Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks
  ☆19Updated last year
• Intelligent-Computing-Lab-Yale / Exploring-Lottery-Ticket-Hypothesis-in-SNNs
  Exploring Lottery Ticket Hypothesis in Sparse Spiking Neural Networks (ECCV2022, oral presentation)
  ☆33Updated 2 years ago
• Lyu6PosHao / ANN2SNN_GN
  Here is the official code for ICASSP 2024 "Optimal ANN-SNN Conversion with Group Neurons".
  ☆11Updated last year
• putshua / SNN_attack_RGA
  codes of the paper Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks (CVPR 2023)
  ☆15Updated 7 months ago
• pkuxmq / OTTT-SNN
  [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks
  ☆58Updated last year
• yhhhli / SNN_Calibration
  Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021
  ☆86Updated 10 months ago
• Jackn0 / snn_optimal_conversion_pipeline
  Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks
  ☆34Updated 3 years ago
• ridgerchu / TCJA
  [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"
  ☆52Updated 11 months ago