pkuxmq / IDE-FSNNLinks
[NeurIPS 2021] Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State
☆29Updated 3 years ago
Alternatives and similar repositories for IDE-FSNN
Users that are interested in IDE-FSNN are comparing it to the libraries listed below
Sorting:
- Exploring Lottery Ticket Hypothesis in Sparse Spiking Neural Networks (ECCV2022, oral presentation)☆35Updated 3 years ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆52Updated 2 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆41Updated 2 years ago
- ☆14Updated 3 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)☆28Updated 2 years ago
- To appear in the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021).☆30Updated 3 years ago
- Offical implementation of "Inherent Redundancy in Spiking Neural Networks" (ICCV2023)☆26Updated last year
- developing tools for LIAF-SNNs and LIF-SNNs☆10Updated 2 years ago
- code for generating data set ES-ImageNet with corresponding training code☆31Updated last year
- Deep Residual Learning in Spiking Neural Networks☆170Updated 3 years ago
- ☆19Updated 3 years ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆51Updated 2 years ago
- An event-driven learning algorithm for spiking neural networks☆29Updated last year
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆68Updated 3 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆63Updated last year
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆88Updated last year
- ☆50Updated last year
- Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagatio…☆41Updated last year
- ☆55Updated 2 years ago
- ☆30Updated last year
- The source code for the paper entitled "A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks…☆14Updated 4 years ago
- Advancing Spiking Neural Networks towards Deep Residual Learning☆53Updated 4 months ago
- codes of the paper Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks (CVPR 2023)☆17Updated 11 months ago
- Official code of "AutoSNN: Towards Energy-Efficient Spiking Neural Networks," ICML22☆18Updated 3 years ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆33Updated 3 years ago
- [ICCV-23] Masked Spiking Transformer☆32Updated 5 months ago
- ☆34Updated 5 years ago
- ☆38Updated last year
- Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation …☆188Updated last year
- Pytorch implementation of ANN-SNN representation similarity analysis (TMLR 2023)☆14Updated 2 years ago