Official code of "AutoSNN: Towards Energy-Efficient Spiking Neural Networks," ICML22
☆18May 29, 2022Updated 4 years ago
Alternatives and similar repositories for AutoSNN
Users that are interested in AutoSNN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This is the official code for our paper "Differentiable Hierarchical and Surrogate Gradient Search for Spiking Neural Networks, NeurIPS 2…☆16Oct 30, 2023Updated 2 years ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆55Feb 18, 2023Updated 3 years ago
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆75Jul 19, 2022Updated 4 years ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆52Nov 8, 2022Updated 3 years ago
- Repository code for the IJCNN 2022 paper "Object Detection with Spiking Neural Networks on Automotive Event Data"☆83Mar 16, 2023Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Exploring Lottery Ticket Hypothesis in Sparse Spiking Neural Networks (ECCV2022, oral presentation)☆36Jul 18, 2022Updated 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)☆32Nov 25, 2022Updated 3 years ago
- ☆23Nov 28, 2022Updated 3 years ago
- ☆63Aug 31, 2023Updated 3 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆125Aug 9, 2022Updated 4 years ago
- [ICLR 2023] Spiking Convolutional Neural Networks for Text Classification☆34Jul 12, 2024Updated 2 years ago
- ICLR 2023, Spikformer: When Spiking Neural Network Meets Transformer☆415Jan 23, 2024Updated 2 years ago
- ☆13Oct 1, 2020Updated 6 years ago
- STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks☆24Dec 24, 2022Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Deep Residual Learning in Spiking Neural Networks☆199Aug 9, 2022Updated 4 years ago
- This is the implementation of MLF & spiking DS-ResNet☆16Dec 20, 2023Updated 2 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆72Apr 16, 2024Updated 2 years ago
- Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagatio…☆49Apr 16, 2026Updated 5 months ago
- ☆26Jan 10, 2022Updated 4 years ago
- [NeurIPS 2021] Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State☆28Oct 24, 2021Updated 4 years ago
- Code for temporal efficient training☆74Jul 16, 2025Updated last year
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆44Dec 12, 2022Updated 3 years ago
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆54Aug 20, 2021Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Spiking Global-Local Fusion Transformer☆23Apr 27, 2025Updated last year
- Official implementation of "Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings" [ICLR2024]☆71Apr 24, 2024Updated 2 years ago
- Deep SNNs with various neural coding methods (rate, phase, burst, TTFS)☆12Feb 15, 2022Updated 4 years ago
- Offical implementation of "Temporal-wise Attention Spiking Neural Networks for Event Streams Classification" (ICCV2021)☆23Oct 16, 2023Updated 2 years ago
- SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.☆2,158Updated this week
- Spikingformer: A Key Foundation Model for Spiking Neural Networks (AAAI 2026)☆152Apr 16, 2026Updated 5 months ago
- The official implementation of paper PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search☆32Sep 5, 2023Updated 3 years ago
- [ICLR 2024] Official implementation of Spiking Graph Contrastive Learning (0️⃣1️⃣ SpikeGCL)☆33May 8, 2024Updated 2 years ago
- Official implementation of paper "Razor SNN: Efficient Spiking Neural Network with Temporal Embeddings", ICANN 2023.☆62Jan 4, 2021Updated 5 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Implementation of Long Short Term Spiking NN☆40Aug 28, 2022Updated 4 years ago
- This is simple code of SpikedAttention (Neurips 2024)☆23Mar 30, 2025Updated last year
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆71Dec 8, 2023Updated 2 years ago
- SpikeMS: Deep Spiking Neural Network for Motion Segmentation☆41Jul 21, 2022Updated 4 years ago
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆92May 9, 2024Updated 2 years ago
- ☆12Jul 6, 2023Updated 3 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆87Apr 15, 2023Updated 3 years ago