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  2. Data_Competitions Data_Competitions Public

    A collection of data competition materials, including Kaggle, Tianchi and KDD, etc. Items will continue to be added.

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  3. Baidu_KDD_CUP_2022-1 Baidu_KDD_CUP_2022-1 Public

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    Spatial Dynamic Wind Power Forecasting. This task has practical importance for the utilization of wind energy. Participants are expected to accurately estimate the wind power supply of a wind farm.

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    Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

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  5. Baidu_KDD_CUP_2022 Baidu_KDD_CUP_2022 Public

    Spatial Dynamic Wind Power Forecasting. This task has practical importance for the utilization of wind energy. Participants are expected to accurately estimate the wind power supply of a wind farm.

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  6. metdig metdig Public

    Forked from nmcdev/metdig

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