├── Deep Learning Basics for Predictive Maintenance ├── Deep Learning Basics for Predictive Maintenance.ipynb ├── LICENSE ├── PM_test.txt ├── PM_train.txt ├── PM_truth.txt └── README.md ├── Neural Prophet tutorial Public └── neural_prophet_global_tuning_pure_code.ipynb ├── README.md ├── SCM site selection ├── Center_of_Gravity_for_Multi_site_selection.ipynb └── china_cities.csv ├── TSP_top100 ├── 0x_final_tsp_clean.ipynb ├── china_cities.csv └── meal_top100.csv ├── autoendoer_2nd_upload ├── 2nd_test_resmaple_10minutes.csv ├── 3rd_test_resmaple_10minutes.csv └── autoencoder_2nd_upload.py ├── baseline_global_cv ├── BR_checkpoints │ ├── wtbdata_245days.csv_tMS_i32_o288_ls2_train214_val31 │ │ ├── feature_scaler_X │ │ ├── model_X.pt │ │ └── target_scaler_X │ ├── wtbdata_245days.csv_tMS_i32_o288_ls3_train214_val31 │ │ ├── feature_scaler_X │ │ ├── model_X.pt │ │ └── target_scaler_X │ └── wtbdata_245days.csv_tMS_i72_o288_ls2_train214_val31 │ │ ├── feature_scaler_X │ │ ├── model_X.pt │ │ └── target_scaler_X ├── common.py ├── evaluation.py ├── geo_code.json ├── metrics.py ├── model.py ├── predict.py ├── prepare.py ├── test_data.py ├── train.py └── wind_turbine_data.py ├── calendar_heatmap-clean ├── calendar_heatmap-clean.ipynb └── owid-covid-data.zip ├── excel_report-excel_report_public ├── avocado.csv ├── main.py └── report_template.xlsx ├── funny_plot-master ├── data │ ├── trump_dance.png │ ├── trump_tweets.csv │ ├── trump_tweets.png │ ├── trumpclock.jpg │ └── warning.png └── funny_plot.py ├── gas_pipe ├── __init__.py ├── data │ ├── GGIT-Gas-Pipelines-January-2022.xlsx │ ├── GGIT-LNG-Terminals-June-2021.xlsx │ ├── countries.geojson │ └── gas_pipe.zip ├── gas_pipe_en.ipynb ├── gas_pipe_en.py └── img │ ├── Image 20.png │ ├── Image 21.png │ ├── gas_top10.png │ ├── gas_top10_2.png │ ├── global——pipe.png │ ├── lng_map.png │ ├── lng_top_10.png │ ├── news19.png │ ├── pie.png │ ├── russia.png │ └── sunburst.png ├── norway ├── norway.py └── norway_new_car_sales_by_make.csv ├── 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