DingJianhao / OptSNNConvertion-RNL-RILLinks
☆30Updated last year
Alternatives and similar repositories for OptSNNConvertion-RNL-RIL
Users that are interested in OptSNNConvertion-RNL-RIL are comparing it to the libraries listed below
Sorting:
- ☆55Updated 2 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆111Updated 3 years ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆51Updated 2 years ago
- SyOPs counter for spiking neural networks☆66Updated 2 years ago
- Deep Residual Learning in Spiking Neural Networks☆179Updated 3 years ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆52Updated 2 years ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆33Updated 3 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆63Updated last year
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆43Updated 2 years ago
- Code for paper "Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks"☆31Updated 2 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆43Updated 2 years ago
- Advancing Spiking Neural Networks towards Deep Residual Learning☆57Updated 6 months ago
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆84Updated last year
- ☆51Updated last year
- Code for temporal efficient training☆65Updated 2 months ago
- ☆16Updated 2 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆89Updated 2 years ago
- ☆25Updated 2 years ago
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆90Updated last year
- Official code of "AutoSNN: Towards Energy-Efficient Spiking Neural Networks," ICML22☆18Updated 3 years ago
- Offical implementation of "Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training" (IEEE T-PAMI2025)☆81Updated 4 months ago
- Awesome Spiking Neural Networks☆137Updated 6 months ago
- [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"☆59Updated last year
- An event-driven learning algorithm for spiking neural networks☆29Updated last year
- Intelligent-Computing-Lab-Panda / Exploring-Temporal-Information-Dynamics-in-Spiking-Neural-NetworksPyTorch Implementation of Exploring Temporal Information Dynamics in Spiking Neural Networks (AAAI23)☆30Updated 2 years ago
- Collect important papers about snn☆32Updated 4 years ago
- Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks☆24Updated last year
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆102Updated 4 years ago
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆18Updated 8 months ago
- STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks☆24Updated 2 years ago