Alternatives and similar repositories for SNN_attack_RGA:

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

• Intelligent-Computing-Lab-Yale / Neural-Architecture-Search-for-Spiking-Neural-Networks
  Neural Architecture Search for Spiking Neural Networks, ECCV2022
  ☆66Updated 2 years ago
• Intelligent-Computing-Lab-Yale / NDA_SNN
  Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.
  ☆37Updated 2 years ago
• 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
• Intelligent-Computing-Lab-Yale / Rate-vs-Direct
  [ICASSP2022] RATE CODING OR DIRECT CODING: WHICH ONE IS BETTER FOR ACCURATE, ROBUST, and ENERGY-EFFICIENT SPIKING NEURAL NETWORKS
  ☆19Updated 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
• DingJianhao / OptSNNConvertion-RNL-RIL
  ☆29Updated last year
• putshua / SNN_conversion_QCFS
  ☆51Updated last year
• hzc1208 / ANN2SNN_COS
  ☆15Updated 2 years ago
• hzc1208 / ANN2SNN_SRP
  ☆25Updated 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
• 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
• xyshi2000 / Unstructured-Pruning
  Codes of the paper: Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework (ICLR2024)
  ☆10Updated last year
• qymeng94 / SLTT
  [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks
  ☆38Updated last year
• Intelligent-Computing-Lab-Yale / SEENN
  Pytorch implementation of SEENN (Spiking Early Exit Neural Networks) (NeurIPS 2023)
  ☆13Updated 4 months ago
• ksouvik52 / hiresnn2021
  ☆12Updated 2 years ago
• yfguo91 / Ternary-Spike
  Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks
  ☆19Updated last year
• Tab-ct / rate-based-backpropagation
  [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation
  ☆14Updated 2 months ago
• Intelligent-Computing-Lab-Yale / BNTT-Batch-Normalization-Through-Time
  BNTT - Frontiers in Neuroscience (2021)
  ☆47Updated 3 years ago
• qymeng94 / DSR
  [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation
  ☆51Updated 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
• Intelligent-Computing-Lab-Yale / SpikeSim
  ☆31Updated last year
• christophstoeckl / FS-neurons
  ☆51Updated 2 years ago
• brain-intelligence-lab / temporal_efficient_training
  Code for temporal efficient training
  ☆59Updated 7 months ago
• yhhhli / SNN_Calibration
  Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021
  ☆86Updated 10 months ago
• yfguo91 / MPBN
  Membrane Potential Batch Normalization for Spiking Neural Networks
  ☆20Updated last year
• Jackn0 / snn_optimal_conversion_pipeline
  Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks
  ☆34Updated 3 years ago
• pkuxmq / OTTT-SNN
  [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks
  ☆58Updated last year
• NeuroCompLab-psu / SNN-Conversion
  ☆38Updated 3 years ago
• iCGY96 / syops-counter
  SyOPs counter for spiking neural networks
  ☆56Updated last year