Pinned Repositories
advbayeslearn
Course material for the PhD course Advanced Bayesian Learning at Linköping University
Applied-Machine-Learning-in-Python
University of Michigan on Coursera
Applied-Text-Mining-in-Python
University of Michigan on Coursera
Browser-based-models-in-TensorFlow-JS
deeplearning.ai on Coursera
BVARmml
Variable selection in Bayesian VAR models via marginalization of marginal likelihood
dc-guide
dc-guide-source
Deep-Learning-Specialization
deeplearning.ai on Coursera
dsdc
DSD Constructor is a very simple, standalone tool, which is able to create and edit DSDs and their related artefacts (i.e. concept schemes and code lists) in order to generate a DSD which fits your needs and can be used, for example, by SMART to obtain the output dataset as required.
nada
National Data Archive (NADA) is a web-based cataloging system that serves as a portal for researchers to browse, search, compare, apply for access, and download relevant census or survey information. It was originally developed to support the establishment of national survey data archives.
dingshutong's Repositories
dingshutong/nada
National Data Archive (NADA) is a web-based cataloging system that serves as a portal for researchers to browse, search, compare, apply for access, and download relevant census or survey information. It was originally developed to support the establishment of national survey data archives.
dingshutong/advbayeslearn
Course material for the PhD course Advanced Bayesian Learning at Linköping University
dingshutong/Applied-Machine-Learning-in-Python
University of Michigan on Coursera
dingshutong/Applied-Text-Mining-in-Python
University of Michigan on Coursera
dingshutong/Browser-based-models-in-TensorFlow-JS
deeplearning.ai on Coursera
dingshutong/BVARmml
Variable selection in Bayesian VAR models via marginalization of marginal likelihood
dingshutong/dc-guide
dingshutong/dc-guide-source
dingshutong/Deep-Learning-Specialization
deeplearning.ai on Coursera
dingshutong/dsdc
DSD Constructor is a very simple, standalone tool, which is able to create and edit DSDs and their related artefacts (i.e. concept schemes and code lists) in order to generate a DSD which fits your needs and can be used, for example, by SMART to obtain the output dataset as required.
dingshutong/myVBA_lib
VBA library
dingshutong/Over_Optim_App_Linear_Growth
dingshutong/qbank
Question Bank
dingshutong/sdmx-csv
This repository is used for maintaining the SDMX-CSV message specifications.
dingshutong/sdmxc
New User Guide for SDMX Constructor
dingshutong/smart
SMART allows users to generate and automate the production of analytical reports defined by means of a SDMX Data Structure Definition (DSD), either from processing micro-level data or from aggregated data by means of transcoding.
dingshutong/tblog
Try to build my personal knowledge base here. Write down my own thoughts and my learning notes on data modeling, AI and programming.
dingshutong/techBlog
Technical new tricks, side projects and thoughts
dingshutong/TensorFlow-in-Practice-Specialization
deeplearning.ai on Coursera