CVPR2022 (Oral) - Rethinking Semantic Segmentation: A Prototype View
Scikit-learn compatible estimation of general graphical models
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).
Clique recycling non-Gaussian (multi-modal) factor graph solver; also see Caesar.jl.
Nonlinear Nonparametric Statistics
R package to estimate time-varying coefficient regressions
An R Package for Bayesian Nonparametric Clustering. We plan to implement several models.
A practical nonparametric statistical tests library for JavaScript
idiosyncratic lecture notes on statistics
B-Spline Density Estimation Library - nonparametric density estimation using B-Spline density estimator from univariate sample.
Hierarchical Dirichlet Process Generalized Linear Models
Robust estimations from distribution structures: Central moments.
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.
Code for the Nadaraya-Watson Head - an interpretable/explainable, nonparametric classification head which can be used with any neural network
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.
Development version of the CptNonPar R package
Official repo of the article: W. A. Yousef, I. Traoré and W. Briguglio, "UN-AVOIDS: Unsupervised and Nonparametric Approach for Visualizing Outliers and Invariant Detection Scoring," in IEEE Transactions on Information Forensics and Security, vol. 16, pp. 5195-5210, 2021, doi: 10.1109/TIFS.2021.3125608.
Codes for "A Spatial Bayesian Semiparametric Mixture Model for Positive Definite Matrices with Applications to Diffusion Tensor Imaging" Copyright (C) 2018 Zhou Lan (zlan@ncsu.edu) - All Rights Reserved
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