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  license: cc-by-nc-sa-4.0
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- arxiv:2507.18464
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  # **DriftMoE** – A Mixture of Experts Approach to Handle Concept Drifts
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- This repository hosts *weights only* so you can plug the model straight into your Python pipeline. These weights correspond to one training run on the LED_g stream.
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  Full training code & utilities live in a separate GitHub repo: **[https://github.com/miguel-ceadar/drift-moe](https://github.com/miguel-ceadar/drift-moe)**
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  license: cc-by-nc-sa-4.0
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  # **DriftMoE** – A Mixture of Experts Approach to Handle Concept Drifts
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+ Model weights for paper [DriftMoE](https://www.arxiv.org/abs/2507.18464)This repository hosts *weights only* so you can plug the model straight into your Python pipeline. These weights correspond to one training run on the LED_g stream.
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  Full training code & utilities live in a separate GitHub repo: **[https://github.com/miguel-ceadar/drift-moe](https://github.com/miguel-ceadar/drift-moe)**
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