YipengUva
I am a statistician (data scientist). My interest lies in statistics & numerical optimization. My research focuses on the algorithm development for data fusion.
University of AmsterdamAmsterdam
Pinned Repositories
advanced_r_solutions
Solutions for the exercises of the book "Advanced R" published in CRC Press (2015) by Hadley Wickham
algorithm_homework
the homework of the algorithm specialization of stanford university on coursera
binary_PCA_methods
Scripts to reproduce the results in "Principal component analysis of binary genomics data" paper.
cpp_primer_solutions
The solutions for the exercises in C++ Primer, fifth edition
final_project
final project of Python Project: pillow, tesseract, and opencv
GSCA_model
Software to accompany "Generalized simultaneous component analysis of binary and quantitative data" paper.
pESCA_matlab
Software to accompany "Separating common (global and local) and distinct variation in multiple mixed types data sets" paper.
PhD_thesis
This repository is used for the version control of my PhD thesis "Fusing heterogeneous data sets". Figures are not included.
Python_on_Rstudio_server
Tutorial on setting up the Python environment on Rstudio server
pytorch_tabular
A standard framework for modelling Deep Learning Models for tabular data
YipengUva's Repositories
YipengUva/advanced_r_solutions
Solutions for the exercises of the book "Advanced R" published in CRC Press (2015) by Hadley Wickham
YipengUva/algorithm_homework
the homework of the algorithm specialization of stanford university on coursera
YipengUva/binary_PCA_methods
Scripts to reproduce the results in "Principal component analysis of binary genomics data" paper.
YipengUva/cpp_primer_solutions
The solutions for the exercises in C++ Primer, fifth edition
YipengUva/final_project
final project of Python Project: pillow, tesseract, and opencv
YipengUva/GSCA_model
Software to accompany "Generalized simultaneous component analysis of binary and quantitative data" paper.
YipengUva/pESCA_matlab
Software to accompany "Separating common (global and local) and distinct variation in multiple mixed types data sets" paper.
YipengUva/PhD_thesis
This repository is used for the version control of my PhD thesis "Fusing heterogeneous data sets". Figures are not included.
YipengUva/Python_on_Rstudio_server
Tutorial on setting up the Python environment on Rstudio server
YipengUva/pytorch_tabular
A standard framework for modelling Deep Learning Models for tabular data
YipengUva/rCOSA
Clustering objects on subsets of attributes
YipengUva/Real-time-Sentiment-Tracking-on-Twitter-for-Brand-Improvement-and-Trend-Recognition
A real-time interactive web app based on data pipelines using streaming Twitter data, automated sentiment analysis, and MySQL&PostgreSQL database (Deployed on Heroku)
YipengUva/RpESCA
R package to accompany "Separating common (global and local) and distinct variation in multiple mixed types data sets" paper.
YipengUva/RpESCA2
rewrite RpESCA package using C++ and Rcpp
YipengUva/sentiment-discovery
Unsupervised Language Modeling at scale for robust sentiment classification