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Ding NING's Projects

aws_ai_ml_scholarship icon aws_ai_ml_scholarship

Scripts and Jupyter notebooks for the projects in the AWS AI and Machine Learning Scholarship Program, last updated 10/2023

aws_deepracer icon aws_deepracer

Scripts for DeepRacer model attempts on Amazon Web Services, last updated 06/2023

cdemris_eda icon cdemris_eda

A Jupyter notebook for exploratory data analysis on the CDEMRIS dataset, last updated 02/2021

cnn_ae_building_segmentation icon cnn_ae_building_segmentation

A Jupyter notebook for urban building segmentation with CNNs and autoencoders from high-resolution satellite images, last updated 06/2021

data_mining icon data_mining

Scripts for practicing data mining, including supervised regression and classification and unsupervised clustering, and association, last updated 06/2020

data_structures icon data_structures

Packages for practicing data structures, including complexity, stacks, queues, deques, lists, graphs, trees, hashing, recursion, sorting, and search, last updated 08/2022

data_wrangling icon data_wrangling

Jupyter notebooks for practicing data wrangling, including manipulating tabular data, images, web data, and relational databases, last updated 10/2019

deep_learning icon deep_learning

Scripts and Jupyter notebooks for practicing deep learning, including GD-based optimization, regularization, neural network basics, FCNs, CNNs, and autoencoders, last updated 09/2020

ghcn_nz icon ghcn_nz

Scripts for generating an adjacency matrix from the GHCN (New Zealand only) dataset and visualization, last updated 02/2021

gnn_cnn_ocean_temp_forecasting icon gnn_cnn_ocean_temp_forecasting

Jupyter notebooks for ocean temperature anomaly forecasting with GNNs and CNNs and data preprocessing from NetCDF multidimensional data, last updated 07/2022

gnn_ee icon gnn_ee

Jupyter notebooks for exploratory research on GNNs, last updated 04/2022

graphsage_sst_ssta_forecasts icon graphsage_sst_ssta_forecasts

Scripts for global monthly sea surface temperature and sea surface temperature anomaly forecasting with GraphSAGEs, plus auxiliary functions, data processing and result demonstration, last updated 02/2024

graphwaves_dgl icon graphwaves_dgl

Scripts for ocean temperature anomaly forecasting with FCNs, CNNs, GNNs, and other model attempts, plus auxiliary functions, data preprocessing and result demonstration, last updated 03/2023

hdfs_spark_distributed_computing icon hdfs_spark_distributed_computing

Scripts for practicing distributed computing with HDFS and Spark, including scalable data preprocessing, data analysis, and ML for classification and recommendation, last updated 05/2020

intro_to_python icon intro_to_python

Scripts for practicing Python programming, including programming basics, I/O, iteration, modularization, programming styles, OOP, and GUI, last updated 11/2019

meshing_funcs icon meshing_funcs

Scripts that implement several meshing methods on 1D arrays, last updated 09/2023

moana_eda icon moana_eda

A Jupyter notebook for exploratory data analysis on the MOANA Ocean dataset, last updated 05/2021

multivariate_statistics icon multivariate_statistics

Scripts for practicing multivariate statistics, including multivariate normal distribution, multiple regression, PCA, FA, DA, and clustering, last updated 06/2020

neural_ode_ee icon neural_ode_ee

A script for exploratory research on neural ODEs, last updated 12/2021

noaa_oi_ssta_daily_to_monthly icon noaa_oi_ssta_daily_to_monthly

A script that merges daily NOAA OI SST data netCDF files into one monthly data file, using the CDO commands, last updated 11/2023

text_data_analysis icon text_data_analysis

Scripts for practicing text data analysis, including discourse analysis, data preprocessing, information extraction, topic modeling, text classification, and sentiment analysis, last updated 10/2019

time_series icon time_series

Scripts for practicing time series, including time series basics, transformation, dependencies, stationarity, regression, decomposition, and ARIMA, last updated 11/2019

unified_dl_mhw_forecasts icon unified_dl_mhw_forecasts

Scripts for a unified deep learning approach for marine heatwave forecasts, including imbalanced regression losses, and GNN, GNN-LSTM and diffusion-GNN models, plus auxiliary functions, data processing and result demonstration, continually updated

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