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@kerner-lab

kerner-lab

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  1. earthshift earthshift Public

    Code repository for EarthShift: Benchmarking the robustness of geospatial foundation models (GFMs) to realistic distribution shifts in Earth Observation

    Python 33 4

  2. Sparse-GPT-Pretraining Sparse-GPT-Pretraining Public

    A codebase for pretraining multi-billion-scale sparse GPTs.

    Python 24 2

  3. Mars-Bench Mars-Bench Public

    Mars-Bench is a standardized benchmark for evaluating vision models on Martian surface and orbital imagery, covering 20 datasets across classification, segmentation, and detection tasks.

    Python 17 2

  4. transfer-field-delineation transfer-field-delineation Public

    Python 15 3

  5. gee_tutorials gee_tutorials Public

    Jupyter Notebook 7

  6. pretrain-where pretrain-where Public

    Code repository for paper "Pretrain Where? Investigating How Pretraining Data Diversity Impacts Geospatial Foundation Model Performance". Code, data and model weights will be made public soon.

    7

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