CVPR2022 (Oral) - Rethinking Semantic Segmentation: A Prototype View

Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).

Scikit-learn compatible estimation of general graphical models

Nonlinear Nonparametric Statistics

Hybrid (non)-Gaussian solver for Distributed Factor Graphs, with clique recycling; and is officially supported as part of the NavAbility(TM) toolchain and Caesar.jl ecosystem.

R package to estimate time-varying coefficient regressions

idiosyncratic lecture notes on statistics

An R Package for Bayesian Nonparametric Clustering. We plan to implement several models.

A practical nonparametric statistical tests library for JavaScript

B-Spline Density Estimation Library - nonparametric density estimation using B-Spline density estimator from univariate sample.

Hierarchical Dirichlet Process Generalized Linear Models

R Package. Bayesian and nonparametric quantile regression, using Gaussian Processes to model the trend, and Dirichlet Processes, for the error. Author: Carlos Omar Pardo Gomez.

Algorithm-agnostic significance testing in supervised learning with multimodal data

Code for the Nadaraya-Watson Head - an interpretable/explainable, nonparametric classification head which can be used with any neural network

“NPC-based risk stratification model for necrotizing fasciitis using bootstrap and permutation methods.”

Robust estimations from distribution structures: Central moments.

Algorithm-agnostic significance testing in supervised learning with multimodal data

A small, header-only, fast C shared library with ML/nonparametrix algorithms for researchers and developers

An R package for obtaining nonparametric estimates of regression models with or without factor-by-curve interactions using local polynomial kernel smoothers or splines

Wilcoxon signed rank test.