yhhhli / SNN_Calibration
Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021
☆87Updated last year
Alternatives and similar repositories for SNN_Calibration:
Users that are interested in SNN_Calibration are comparing it to the libraries listed below
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆50Updated 2 years ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆33Updated 3 years ago
- Code for temporal efficient training☆61Updated 8 months ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆51Updated 2 years ago
- ☆29Updated last year
- ☆52Updated last year
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆67Updated 2 years ago
- ☆37Updated 3 years ago
- Exploring Lottery Ticket Hypothesis in Sparse Spiking Neural Networks (ECCV2022, oral presentation)☆34Updated 2 years ago
- Deep Residual Learning in Spiking Neural Networks☆164Updated 2 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆37Updated 2 years ago
- Advancing Spiking Neural Networks towards Deep Residual Learning☆51Updated last month
- ☆53Updated 2 years ago
- SyOPs counter for spiking neural networks☆58Updated 2 years ago
- ☆28Updated 4 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆85Updated 2 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆60Updated last year
- Official code of "AutoSNN: Towards Energy-Efficient Spiking Neural Networks," ICML22☆18Updated 2 years ago
- ☆50Updated last year
- BNTT - Frontiers in Neuroscience (2021)☆47Updated 3 years ago
- code for generating data set ES-ImageNet with corresponding training code☆31Updated 11 months ago
- ☆15Updated 2 years ago
- Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks☆20Updated last year
- [ICASSP2022] RATE CODING OR DIRECT CODING: WHICH ONE IS BETTER FOR ACCURATE, ROBUST, and ENERGY-EFFICIENT SPIKING NEURAL NETWORKS☆19Updated last year
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆42Updated last year
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆100Updated 4 years ago
- codes of the paper Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks (CVPR 2023)☆17Updated 8 months ago
- PyTorch Implementation of Exploring Temporal Information Dynamics in Spiking Neural Networks (AAAI23)☆28Updated 2 years ago
- [NeurIPS 2021] Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State☆29Updated 3 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆107Updated 2 years ago