Pinned Repositories
breast_cancer_image_analysis
Reproduces the analysis from Carmichael et al. 2019
jackstraw
implements jackstraw methods in python test for associations between variables and systematic modes of variation discovered in the data.
law-net
code to analyze the legal citation network
mvdr
A python package for multi-view dimensionality reduction
NetworkChangePoint
Nonparametric change point detection for growing trees and code to reproduce figures in Banerjee, Bhamidi and Carmichael, 2018
optimization_algos
basic implementation of a bunch of optimization algorithms
py_jive
A data analysis package for high-dimensional, multi-block data.
r_jive
Implementation of AJIVE in R
stor390
Introduction to Data Science
ya_pca
Yet another PCA package. This one focuses on rank selection.
idc9's Repositories
idc9/py_jive
A data analysis package for high-dimensional, multi-block data.
idc9/stor390
Introduction to Data Science
idc9/mvdr
A python package for multi-view dimensionality reduction
idc9/ya_pca
Yet another PCA package. This one focuses on rank selection.
idc9/jackstraw
implements jackstraw methods in python test for associations between variables and systematic modes of variation discovered in the data.
idc9/r_jive
Implementation of AJIVE in R
idc9/breast_cancer_image_analysis
Reproduces the analysis from Carmichael et al. 2019
idc9/NetworkChangePoint
Nonparametric change point detection for growing trees and code to reproduce figures in Banerjee, Bhamidi and Carmichael, 2018
idc9/word_embed_tutorial
tutorial on getting started with word embeddings in python using Supreme Court opinions
idc9/FalseConfidence
Code to reproduce figures in Carmichael and Williams, 2018
idc9/idc9.github.io
Personal website
idc9/mvmm
Learning sparsity and block diagonal structure in multi-view mixture models.
idc9/what_the_cluster
Python implementation of some algorithms to determine the "optimal" number of clusters
idc9/andersoncd
Implementation of Anderson acceleration of coordinate descent.
idc9/course-materials
idc9/courtlistener
A free and powerful system for awareness and research of the American judicial system.
idc9/deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
idc9/diproperm
DiProPerm for high dimensional hypothesis testing.
idc9/ds_tutorials
data science tutorials
idc9/explore
tools for exploratory data analysis
idc9/fclsp
Folded concave Laplacian spectral penalization.
idc9/graspy
Python package for graph statistics
idc9/HistomicsTK
A Python toolkit for pathology image analysis algorithms.
idc9/lightning
Deep learning framework to train, deploy, and ship AI products Lightning fast.
idc9/mvlearn
Python package for multi-view machine learning
idc9/mvmm_sim
Reproduces the simulations from Carmichael, 2020.
idc9/repro_homelessness_retention_atp
Reproduce the results of "Patient Characteristics and Retention Among Unhoused Patients Enrolled in a Low-Barrier-To Treatment Entry Opioid Agonist Program"
idc9/repro_lap_reg
Reproduces the result from the Laplacian regularization paper (Carmichael, 2021)
idc9/SimpleParsing
Simple, Elegant, Typed Argument Parsing with argparse
idc9/UNC_science_expo_2018
Interactive Shiny Applicatino in R to demonstrate the hazards of spurious correlations. App can be found at https://cbreen.shinyapps.io/final_app/