kose-y

Assistant Adjunct Professor, Mathematics/Biostatistics, UCLA

University of California, Los AngelesLos Angeles

Pinned Repositories

dist_stat
dist_stat: Distributed statistical computing with distributed array data structure in PyTorch
Language:Python6 6 02
DistStat.jl
Distributed computation for statistics
Language:Julia9 7 72
Hoffman2Tutorials
Tutorials for UCLA's Hoffman2 HPC Cluster Computing Resource for R and Julia
Language:Python4 1 02
HyperConv
HyperConv: Spatio-spectral Classification of Hyperspectral Images with Deep Convolutional Neural Networks
Language:Python5 3 16
Julia-MPI-CuArray
CUDA-aware MPI with CuArrays.jl
Language:Julia8 5 10
near-circulant-splitting
Code for the paper "Splitting with Near-Circulant Linear Systems: Applications to Total Variation CT and PET"
Language:MATLAB4 5 01
ParProx.jl
GPU-Parallel L1- and latent group-penalized logistic regression and Cox proportional hazard regression using the proximal gradient method.
Language:Julia5 6 02
W17.MachineLearning
Language:Jupyter Notebook5 4 03
BGEN.jl
Language:Julia10 5 120
SnpArrays.jl
Compressed storage for SNP data
Language:Julia44 6 709

kose-y's Repositories

kose-y/DistStat.jl
Distributed computation for statistics
Language:Julia9 7 72
kose-y/dist_stat
dist_stat: Distributed statistical computing with distributed array data structure in PyTorch
Language:Python6 6 02
kose-y/ParProx.jl
GPU-Parallel L1- and latent group-penalized logistic regression and Cox proportional hazard regression using the proximal gradient method.
Language:Julia5 6 02
kose-y/W17.MachineLearning
Language:Jupyter Notebook5 4 03
kose-y/Hoffman2Tutorials
Tutorials for UCLA's Hoffman2 HPC Cluster Computing Resource for R and Julia
Language:Python4 1 02
kose-y/near-circulant-splitting
Code for the paper "Splitting with Near-Circulant Linear Systems: Applications to Total Variation CT and PET"
Language:MATLAB4 5 01
kose-y/TrueSkill.jl
Language:Julia4 3 10
kose-y/SparseKmeansFeatureRanking.jl
Language:Julia2 4 3
kose-y/JuliaWorkshop
Language:Jupyter Notebook1 2 0
kose-y/OpenADMIXTURE-resources
Language:Julia1 2 1
kose-y/slurm-tutorial
Tutorial code for slurm and rslurm. Written for First-year Graduate Seminar, Department of Statistics, Seoul National University.
Language:R1 4 0
kose-y/TrajGWAS-reproducibility
Language:Jupyter Notebook1 4 01
kose-y/2022-July-Workshop
2022 July Workshop
Language:HTML1 0
kose-y/aw-area51
configuration and user guide for the Alienware Area 51 desktop
2 0
kose-y/BVLS_jll.jl
Language:Julia2 0
kose-y/CuArrays.jl
A Curious Cumulation of CUDA Cuisine
Language:Julia2 0
kose-y/CUDA.jl
CUDA programming in Julia.
kose-y/dist-primal-dual
Source code to accompany "Easily parallelizable and distributable class of algorithms for structured sparsity, with optimal acceleration".
Language:Python5 0
kose-y/grpregOverlap
Regularization paths of linear, logistic, Poisson, or Cox models with overlapping grouped covariates
Language:R2 0
kose-y/HaploADMIXTURE-resources
Language:Julia2 0
kose-y/HPHawkes.jl
Language:Julia2 0
kose-y/kose-y.github.io
Language:JavaScript
kose-y/MendelIHT.jl
Iterative hard thresholding as a multiple regression model for GWAS
Language:Julia1 0
kose-y/MPI.jl
MPI wrappers for Julia
Language:Julia2 0
kose-y/Preconditioners.jl
A few preconditioners for iterative solvers.
Language:Julia1 0
kose-y/SKFR
Sparse k-means clustering with feature selection
Language:Julia2 0
kose-y/SnpArrays.jl
Compressed storage for SNP data
Language:Julia2 0
kose-y/test-quarto
2 0
kose-y/TrajGWAS-resources
2 0
kose-y/TrialWorkshop
Language:Jupyter Notebook3 0