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README.md
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license: cc-by-nd-4.0
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language:
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- en
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tags:
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- foundation-model
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- neuroscience
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- eeg
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- mamba
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---
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<div align="center">
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<img src="https://raw.githubusercontent.com/danaebroustail/BioFoundation_Danae/refs/heads/lumamba/docs/model/logo/LuMamba_logo.png" alt="LuMamba Logo" width="800"/>
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- **Issues & support:** please open a GitHub issue in the BioFoundation repository.
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---
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## 🗒️ Changelog
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- **v1.0:** Initial release of LuMamba model card with task-specific checkpoints and instructions.
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license: cc-by-nd-4.0
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language:
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- en
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library_name: pytorch
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tags:
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- eeg
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- biosignal
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- mamba
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- state-space-model
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- cross-attention
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- foundation-model
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- self-supervised
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- masked-modeling
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- lejepa
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- topology-invariant
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- neuroscience
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datasets:
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- TUEG
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- TUAB
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- APAVA
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- TDBrain
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metrics:
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- balanced_accuracy
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- roc_auc
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- pr_auc
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thumbnail: https://raw.githubusercontent.com/pulp-bio/BioFoundation/refs/heads/main/docs/model/logo/LuMamba_logo.png
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model-index:
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- name: LuMamba-Tiny
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results:
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- task:
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type: time-series-classification
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name: EEG Abnormality Detection
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dataset:
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type: TUAB
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name: TUH EEG Abnormal Corpus (TUAB)
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metrics:
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- type: balanced_accuracy
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value: 80.99
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name: Balanced Accuracy (%)
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- type: roc_auc
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value: 0.883
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name: AUROC
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- type: pr_auc
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value: 0.892
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name: AUC-PR
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- task:
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type: time-series-classification
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name: Alzheimer's Disease Detection
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dataset:
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type: APAVA
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name: APAVA
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metrics:
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- type: roc_auc
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value: 0.955
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name: AUROC
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- type: pr_auc
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value: 0.970
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name: AUC-PR
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- task:
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type: time-series-classification
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name: Parkinson's Disease Detection
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dataset:
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type: TDBrain
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name: TDBrain
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metrics:
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- type: roc_auc
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value: 0.961
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name: AUROC
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- type: pr_auc
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value: 0.960
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name: AUC-PR
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---
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<div align="center">
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<img src="https://raw.githubusercontent.com/danaebroustail/BioFoundation_Danae/refs/heads/lumamba/docs/model/logo/LuMamba_logo.png" alt="LuMamba Logo" width="800"/>
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- **Issues & support:** please open a GitHub issue in the BioFoundation repository.
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---
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---
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## 🔗 Related Models
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- **[LUNA](https://huggingface.co/PulpBio/LUNA)** — Transformer-based topology-agnostic EEG foundation model (NeurIPS 2025). Source of the channel-unification cross-attention module that LuMamba reuses.
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- **[FEMBA](https://huggingface.co/PulpBio/FEMBA)** — Bidirectional Mamba foundation model for EEG. Source of the linear-complexity temporal backbone that LuMamba reuses.
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- **[TinyMyo](https://huggingface.co/PulpBio/TinyMyo)** — Tiny foundation model for flexible EMG signal processing at the edge.
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-
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## 🗒️ Changelog
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- **v1.0:** Initial release of LuMamba model card with task-specific checkpoints and instructions.
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