STEP: A Unified Spiking Transformer Evaluation Platform for Fair and Reproducible Benchmarking

⚡ Introduction

This repository is the official checkpoint repository for STEP. It is intended solely for storing the model checkpoints, training logs, and corresponding configuration files (.yaml) used in STEP, to facilitate usage, reproduction, and comparison of Spiking Transformer models by researchers and interested users.

For the complete STEP framework, including source code and tutorials, please refer to the official GitHub repository.

🚀 Quick Start

To get started, clone the repository and install the required dependencies:

git clone https://github.com/Fancyssc/STEP.git

Contact & Collaboration

• Questions or Feedback
  If you run into any issues, have questions about STEP, or simply want to share suggestions, please open a GitHub Issue or start a discussion thread. We monitor the repository regularly and aim to respond within a few business days.

• Integrate Your Model
  Have an exciting Spiking Transformer variant or related module you’d like to see supported? We welcome external contributions! Open an Issue describing your model, its licensing, and any specific requirements, or email the maintainers. We’ll coordinate with you to add the necessary adapters, documentation, and tests.

We look forward to working with the community to make STEP an ever-stronger platform for neuromorphic research.

📝Citation

@misc{shen2025stepunifiedspikingtransformer,
      title={STEP: A Unified Spiking Transformer Evaluation Platform for Fair and Reproducible Benchmarking}, 
      author={Sicheng Shen and Dongcheng Zhao and Linghao Feng and Zeyang Yue and Jindong Li and Tenglong Li and Guobin Shen and Yi Zeng},
      year={2025},
      eprint={2505.11151},
      archivePrefix={arXiv},
      primaryClass={cs.NE},
      url={https://arxiv.org/abs/2505.11151}, 
}