xyshi2000 / Unstructured-Pruning
Codes of the paper: Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework (ICLR2024)
☆10Updated last year
Alternatives and similar repositories for Unstructured-Pruning:
Users that are interested in Unstructured-Pruning are comparing it to the libraries listed below
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆38Updated last year
- ☆17Updated last year
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆14Updated 2 months ago
- ☆17Updated 2 years ago
- Create a new backward path for more accurate SNN gradients.☆16Updated 7 months 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☆49Updated last year
- ☆15Updated 2 years ago
- Code for temporal efficient training☆60Updated 7 months ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆51Updated 2 years ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆51Updated 2 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆59Updated last year
- ☆48Updated last year
- Code for paper "Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks"☆27Updated last year
- Optimizing threshold and leak in LIF neurons with end-to-end backpropagation☆18Updated 3 years ago
- ☆11Updated 2 years ago
- SyOPs counter for spiking neural networks☆55Updated last year
- Offical implementation of "Temporal-wise Attention Spiking Neural Networks for Event Streams Classification" (ICCV2021)☆18Updated last year
- Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks☆19Updated last year
- ☆25Updated 2 years ago
- codes of the paper Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks (CVPR 2023)☆15Updated 7 months ago
- ☆51Updated last year
- Offical implementation of "Advancing Spiking Neural Networks towards Deep Residual Learning" (IEEE TNNLS 2024)☆13Updated last year
- Offical implementation of "Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training" (IEEE T-PAMI2025)☆51Updated this week
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆75Updated 10 months ago
- Offical implementation of "Quantized Spike-driven Transformer" (ICLR2025)☆13Updated 2 weeks ago
- 该仓库主要收录了顶会中SNN领域的一些论文,论文内容与代理梯度和ANN-SNN转换相关。☆18Updated 2 years ago
- PyTorch Implementation of Exploring Temporal Information Dynamics in Spiking Neural Networks (AAAI23)☆28Updated 2 years ago
- BNTT - Frontiers in Neuroscience (2021)☆47Updated 3 years ago
- STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks☆22Updated 2 years ago