Add a model card to BarcodeMamba models (#1)
Browse files- Add a model card to BarcodeMamba models (dcb67267498c31759a2d88903898bd066d732060)
- Upload PDF and PNG posters (0514d2dc6d34e81aeab70ec08a6faa11e3df113d)
- Rename BarcodeMamba Poster.png to poster/BarcodeMamba Poster.png (d2b0a2065713f3a7cc6246147ae5c6849810a72b)
- Rename BarcodeMamba_Poster.pdf to poster/BarcodeMamba_Poster.pdf (f7079003da7e189babf5b400255eccf796216cca)
Co-authored-by: Tiancheng Gao <[email protected]>
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- poster/BarcodeMamba_Poster.pdf +3 -0
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BarcodeMamba[[:space:]]Poster.png filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: mit
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---
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license: mit
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---
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# BarcodeMamba for Taxonomic Classification
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A performant and efficient Mamba-2-based foundation model for DNA barcodes in biodiversity analysis.
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- Check out our [paper](https://openreview.net/forum?id=6ohFEFTr10)
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- Check out our [poster](https://neurips.cc/media/PosterPDFs/NeurIPS%202024/105938.png)
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# Usage
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The pretrained models can be used for both taxonomic classification on seen species (fine-tune & linear probe) and making genus-level predictions on unseen species (1-NN probe). The instructions for using our models can be found at our [GitHub repository](https://github.com/bioscan-ml/BarcodeMamba).
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# Citation
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If you find BarcodeMamba useful, please consider citing:
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```
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@inproceedings{
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gao2024barcodemamba,
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title={BarcodeMamba: State Space Models for Biodiversity Analysis},
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author={Tiancheng Gao and Graham W.~Taylor},
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booktitle={{NeurIPS} 2024 Workshop on Foundation Models for Science: Progress, Opportunities, and Challenges},
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year={2024},
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poster/BarcodeMamba Poster.png
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poster/BarcodeMamba_Poster.pdf
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version https://git-lfs.github.com/spec/v1
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oid sha256:c0f6780623b7714babb881bbef2ccb12509b3746fa150585d5976ab92bf19b2b
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size 5277969
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