Hua-Zhou

UCLALos Angeles, California, USA

Pinned Repositories

aw-area51
configuration and user guide for the Alienware Area 51 desktop
7 3 33
ConstrainedLasso.jl
Algorithms for fit constrained lasso
Language:Julia8 3 23
Hua-Zhou.github.io
Hua Zhou's personal webpage
Language:HTML15 8 038
MGLM
MGLM Toolbox for Matlab
Language:MATLAB6 4 15
MultiResponseVarianceComponentModels.jl
Multivariate Response Variance Component Models
Language:Julia5 2 11
OTSM.jl
algorithms for orthogonal trace sum maximization (OTSM)
Language:Julia4 4 00
Public-Talks
Repository for some of my public talks
Language:Jupyter Notebook5 3 04
SparseReg
Matlab toolbox for sparse regression
Language:HTML26 7 411
svt
singular value thresholding in Matlab
Language:HTML13 3 01
TensorReg
Matlab toolbox for tensor regressions
Language:MATLAB27 5 59

Hua-Zhou's Repositories

Hua-Zhou/TensorReg
Matlab toolbox for tensor regressions
Language:MATLAB27 5 59
Hua-Zhou/SparseReg
Matlab toolbox for sparse regression
Language:HTML26 7 411
Hua-Zhou/Hua-Zhou.github.io
Hua Zhou's personal webpage
Language:HTML15 8 038
Hua-Zhou/aw-area51
configuration and user guide for the Alienware Area 51 desktop
7 3 33
Hua-Zhou/MultiResponseVarianceComponentModels.jl
Multivariate Response Variance Component Models
Language:Julia5 2 11
Hua-Zhou/OTSM.jl
algorithms for orthogonal trace sum maximization (OTSM)
Language:Julia4 4 00
Hua-Zhou/ClinicalTrialOptm.jl
optimization for global clinical trial design
Language:HTML3 1 0
Hua-Zhou/CornucopiaMLE
Code for reproducing the MLE examples in the manuscript “A Cornucopia of Maximum Likelihood Algorithms“ by Lange, Li, and Zhou
Language:Julia3 2 0
Hua-Zhou/JSM-Julia-Short-Course-2022
Julia Short Course at JSM 2022 (CE_23C)
Language:HTML3 2 02
Hua-Zhou/Projections.jl
collection of projection operators
Language:Julia3 2 04
Hua-Zhou/IntervalCensoredEventTimes.jl
Language:Julia2 2 0
Hua-Zhou/BEDFiles.jl
Routines for reading and manipulating GWAS data in .bed files
Language:Julia1 2 0
Hua-Zhou/Clustering.jl
A Julia package for data clustering
Language:Julia1 2 0
Hua-Zhou/deep_learning_workshops
Language:Jupyter Notebook1 1 0
Hua-Zhou/deepbiome
Deepbiome: deep Learning package for microbiome using the phylogenetic tree
Language:Python1 1 0
Hua-Zhou/GLMCopula.jl
a flexible copula-like distribution For GLM
Language:Julia1 3 0
Hua-Zhou/Hua-Zhou
GitHub profile
1 2 01
Hua-Zhou/ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Language:Jupyter Notebook1 0 0
Hua-Zhou/IterativeSolvers.jl
Iterative algorithms for solving linear systems, eigensystems, and singular value problems
Language:Julia1 1 0
Hua-Zhou/julialang.github.com
Julia Project web site.
Language:TeX1 2 0
Hua-Zhou/mimic-code
MIMIC Code Repository: Code shared by the research community for the MIMIC-III database
Language:Jupyter Notebook1 1 0
Hua-Zhou/MixedModels.jl
A Julia package for fitting (statistical) mixed-effects models
Language:Julia1 1 0
Hua-Zhou/NGPP.jl
Nearest-Neighbor Gaussian process (NGPP)
Language:Jupyter Notebook1 2 0
Hua-Zhou/PanelCountData.jl
project for panel count model
Language:Julia1 2 0
Hua-Zhou/rocker-versioned2
Run current & prior versions of R using docker. rocker/r-ver, rocker/rstudio, rocker/shiny, rocker/tidyverse, and so on.
Language:Dockerfile1 0 0
Hua-Zhou/www.julialang.org
Julia Project website
Language:CSS1 2 0
Hua-Zhou/matrixcalc
MIT IAP short course: Matrix Calculus for Machine Learning and Beyond
Language:HTML0 0
Hua-Zhou/NSF-MPS-High-2024
Summer internship at UCLA through the NSF MPS-High program
Language:HTML1 0
Hua-Zhou/Sharing_ISL_python
An Introduction to Statistical Learning with Applications in PYTHON
Language:Jupyter Notebook0 0
Hua-Zhou/W17.MachineLearning
Language:Jupyter Notebook1 0