Seyoon Ko's starred repositories
ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
awesome-scientific-computing
:sunglasses: Curated list of awesome software for numerical analysis and scientific computing
get-started-with-JAX
The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.
julia-gpu-course
GPU Programming with Julia - course at the Swiss National Supercomputing Centre (CSCS), ETH Zurich
SparseDiffTools.jl
Fast jacobian computation through sparsity exploitation and matrix coloring
WeightedSHAP
WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
JuliaNotes.jl
A collection of examples and explanations about Julia
PkgDependency.jl
Show dependency tree of Julia project
MendelImpute.jl
OpenMendel package for haplotyping and imputation
CPP-Fundamentals
Jupyter Notebooks for Learning CS Foundational Concepts using C++
MPITape.jl
Record MPI operations on tape
admix-simu
Program to simulate admixture between multiple populations
py-debruijn
Python implementation of de Bruijn graph for genome assembly
cs-jupyterlab
A batteries included Jupyter lab in a Codespace with Python, Julia, R and Racket
collab-workshop-st
UCLA QCBio col-laboratory workshop W31: spatial transcriptomics
MultiResponseVarianceComponentModels.jl
Multivariate Response Variance Component Models
PIC-16B-TA-W23
TA Material for PIC16B Winter 2023