Intelligent-Computing-Lab-Panda / Exploring-Lottery-Ticket-Hypothesis-in-SNNsLinks
Exploring Lottery Ticket Hypothesis in Sparse Spiking Neural Networks (ECCV2022, oral presentation)
☆36Updated 3 years ago
Alternatives and similar repositories for Exploring-Lottery-Ticket-Hypothesis-in-SNNs
Users that are interested in Exploring-Lottery-Ticket-Hypothesis-in-SNNs are comparing it to the libraries listed below
Sorting:
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆92Updated last year
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆73Updated 3 years ago
- [NeurIPS 2021] Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State☆29Updated 4 years ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆54Updated 2 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆44Updated 3 years ago
- Pytorch implementation of ANN-SNN representation similarity analysis (TMLR 2023)☆14Updated 2 years ago
- To appear in the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021).☆31Updated 4 years ago
- Intelligent-Computing-Lab-Panda / Exploring-Temporal-Information-Dynamics-in-Spiking-Neural-NetworksPyTorch Implementation of Exploring Temporal Information Dynamics in Spiking Neural Networks (AAAI23)☆31Updated 3 years ago
- code for generating data set ES-ImageNet with corresponding training code☆31Updated last year
- Create a new backward path for more accurate SNN gradients.☆18Updated last year
- ☆56Updated 2 years ago
- BNTT - Frontiers in Neuroscience (2021)☆49Updated 4 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆67Updated 2 years ago
- ☆55Updated 3 years ago
- codes of the paper Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks (CVPR 2023)☆17Updated last year
- [ICASSP2022] RATE CODING OR DIRECT CODING: WHICH ONE IS BETTER FOR ACCURATE, ROBUST, and ENERGY-EFFICIENT SPIKING NEURAL NETWORKS☆20Updated 2 years ago
- ☆15Updated 4 years ago
- ☆31Updated 2 years ago
- Advancing Spiking Neural Networks towards Deep Residual Learning☆62Updated 9 months ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆33Updated 4 years ago
- [ICCV-23] Masked Spiking Transformer☆33Updated 11 months ago
- Membrane Potential Batch Normalization for Spiking Neural Networks☆20Updated 2 years ago
- ☆16Updated 5 years ago
- ☆19Updated 3 years ago
- developing tools for LIAF-SNNs and LIF-SNNs☆10Updated 3 years ago
- Deep Residual Learning in Spiking Neural Networks☆187Updated 3 years ago
- Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation …☆217Updated last year
- [ICLR 2024] Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks☆46Updated last year
- Offical implementation of "Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training" (IEEE T-PAMI2025)☆91Updated 8 months ago
- ☆17Updated 2 years ago