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  • Tokyo, Japan

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  1. Deep-Learning-for-Human-Activity-Recognition Deep-Learning-for-Human-Activity-Recognition Public

    Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).

    Jupyter Notebook 63 16

  2. Time-Series-Demand-Forecasting Time-Series-Demand-Forecasting Public

    Time-series demand forecasting is constructed by using LSTM, GRU, LSTM with seq2seq architecture, and prophet models.

    Jupyter Notebook 30 18

  3. AtCoder AtCoder Public

    AtCoder Contest Code in Python: Shortest Path Problem / DP / BFS / DFS / Dijkstra / Warshall Floyd / Priority Queue etc.

    Python 1

  4. boston_terrier boston_terrier Public

    Forked from shimech/boston_terrier

    エンジニアサマーインターン2019 チーム「ボストンテリア」川柳bot

    Python

  5. nishika16_2nd_solution nishika16_2nd_solution Public

    2nd place solution of Nishika Lithium Battery SOC Prediction

    Jupyter Notebook 1

  6. nishika-cable-classification-1st-place nishika-cable-classification-1st-place Public

    Training code of "Cable Connector Classification" Challenge 1st place solution

    Python 1