XiudingCai / Awesome-Mamba-Collection

A curated collection of papers, tutorials, videos, and other valuable resources related to Mamba.
MIT License
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Awesome-Mamba-Collection

Awesome PRs Welcome Stars

Welcome to Awesome Mamba Resources! This repository is a curated collection of papers, tutorials, videos, and other valuable resources related to Mamba. Whether you're a beginner or an experienced user, this collection aims to provide a comprehensive reference for all things Mamba. Explore the latest research papers, dive into helpful tutorials, and discover insightful videos to enhance your understanding and proficiency in Mamba. Join us in this open collaboration to foster knowledge sharing and empower the Mamba community. Let's embark on an exciting journey with Mamba!

Feel free to modify and customize this introduction according to your preferences. Good luck with your repository! If you have any other questions, feel free to ask. -by ChatGPT

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Enjoy it below!

Papers

Architecture

Theoretical Analysis

Vision

Language

Multi-Modal

Spatio-Temporal

Diffusion

Medical

Tabular Data

Graph

Point Cloud

Time Series

Speech

Recommendation

Reinforcement Learning

Survey

Tutorials

Blogs

Videos

Books

Codes

Other Awesome Mamba List

Contributions

🎉 Thank you for considering contributing to our Awesome Mamba Collection repository! 🚀

Contribute in 3 Steps

  1. Fork the Repo: Fork this repo to your GitHub account.
  2. Edit Content: Contribute by adding new resources or improving existing content in the README.md file.
  3. Create a Pull Request: Open a pull request (PR) from your branch to the main repository.

Guidelines

Citation

If you find this repository useful, please consider citing our paper:

@article{cai2024mambats,
  title={MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting},
  author={Cai, Xiuding and Zhu, Yaoyao and Wang, Xueyao and Yao, Yu},
  journal={arXiv preprint arXiv:2405.16440},
  year={2024}
}

Acknowledgement

Thanks the template from Awesome-Visual-Transformer and Awesome State-Space Resources for ML