calvinmccarter

2024

condo-adapter

Towards Backwards-Compatible Data with Confounded Domain Adaptation (TMLR, 2024)

idw-attention

Inverse distance-weighted attention learns prototypes in a single-hidden-layer network trained with vanilla cross-entropy loss.

itlumm

kditransform

Kernel density integral transformation: feature preprocessing and univariate clustering (TMLR, 2023)

maddness-old

Code for ICML2020 submission

mega-cggm

Fast and scalable methods for estimating sparse conditional Gaussian graphical models

polyexpkde

Fast univariate kernel density estimation with the polynomial-exponential kernel

unmasking-trees

Tabular data imputation and generation via incremental XGBoost unmasking

calvinmccarter/mega-cggm

Fast and scalable methods for estimating sparse conditional Gaussian graphical models

calvinmccarter/bfa

Code and data for the paper "Bounding the fairness and accuracy of classifiers from population statistics", by Sivan Sabato and Elad Yom-Tov, published at ICML 2020

calvinmccarter/cocoa

communication-efficient distributed coordinate ascent

calvinmccarter/combat.py

python / numpy / pandas / patsy version of ComBat for removing batch effects.

calvinmccarter/grabby_aliens

calvinmccarter/hellor

calvinmccarter/networkx

Official NetworkX source code repository.

calvinmccarter/representation_learning_for_transcriptomics

Framework for Representation Learning for Transcriptomics

calvinmccarter/sklearn-lvq

sklearn compatible implementation of generalized vector quantization algorithms

calvinmccarter/SNN_repro

Reproduction of "Self-Normalizing Neural Networks"

calvinmccarter/xling-eval

Code and resources for evaluating cross-lingual embedding spaces