├── .devcontainer ├── devcontainer.json └── icon.svg ├── .dockerignore ├── .github └── copilot-instructions.md ├── .gitignore ├── 00-preface.md ├── 00-preface_py.md ├── Dockerfile ├── LICENSE ├── LLM_multiple_promt.ipynb ├── LLM_sequence.ipynb ├── Poisson.py ├── README.md ├── _config.yml ├── _toc.yml ├── data_example ├── 2022 Lin Shi Wang Yan Computational_Economics.pdf ├── AJR.csv ├── AJR_IV.R ├── Beijing_housing_gbm.R ├── Beijing_housing_gbm_ML.R ├── OLS_NN.ipynb ├── REL.py ├── SH_stockid_UTF8.csv ├── Scrape_Lianjia.ipynb ├── Time_Series_LSTM_big_model.ipynb ├── bank-full.csv ├── bank-names.txt ├── bank_for_big_matrix.R ├── big150.Rdata ├── data_oos.Rdata ├── dataset_inf.Rdata ├── dplyr_demo.R ├── empirical_finance.csv ├── fred_md.csv ├── ggplot2_demo.R ├── ibm3jan2006.csv ├── lianjia.RData ├── lianjia.csv ├── logit_NN.ipynb ├── multigraph.Rdata ├── nn_LSTM.ipynb ├── nn_torch.ipynb ├── openai-env.py ├── parallel.py ├── shinny_newton_method_opt.R └── tidyr_demo.R ├── graph ├── AWS.png ├── Ada_Lovelace.jpg ├── CV_Figure.png ├── Colored_neural_network.png ├── ML_flow.png ├── Minard.png ├── SCAD.png ├── attention.png ├── bias_variance.png ├── chongchicollege.png ├── damaoshan.jpeg ├── econ_super.png ├── econ_super_top.png ├── lasso_regression2.png ├── macau.jpg ├── metric_flow.png ├── multi-head-att.png ├── scrp1.jpg ├── scrp2.jpg ├── shenwei.jpg ├── transformer.png └── yellowriver.jpg ├── import-ghp.bat ├── lec_2024 ├── slides_02_basic_R.ipynb ├── slides_03_data_sources.ipynb ├── slides_04_visualization.ipynb ├── slides_05_advanced_R.ipynb ├── slides_06_cloud_computing.ipynb ├── slides_07_simulation.ipynb ├── slides_08_integration.ipynb ├── slides_09_optimization.ipynb ├── slides_10_time_series.ipynb └── slides_11_ML.ipynb ├── py_01_basic.ipynb ├── py_02_data_sources.ipynb ├── py_02_data_sources_text.ipynb ├── py_03_plot.ipynb ├── py_04_advance.ipynb ├── py_05_simulations.ipynb ├── py_06_integration.ipynb ├── py_07_optimization.ipynb ├── py_08_time_series.ipynb ├── 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