normflows
normflows: A PyTorch Package for Normalizing Flows - Published in JOSS (2023)
kdensity
kdensity: An R package for kernel density estimation with parametric starts and asymmetric kernels - Published in JOSS (2019)
haldensify
haldensify: Highly adaptive lasso conditional density estimation in R - Published in JOSS (2022)
Surjectors
Surjectors: surjection layers for density estimation with normalizing flows - Published in JOSS (2024)
remBoot
remBoot: An R package for Random Encounter Modelling - Published in JOSS (2017)
rho-diffusion
Parameterizing n-dimensional density fields using denoising diffusion probabilistic models
localpolynomialdensityestimation.jl
Estimate bivariate densities using nonparametric local polynomial procedures
https://github.com/d3group/dddex
The package 'data-driven density estimation x' (dddex) turns any standard point forecasting model into an estimator of the underlying conditional density
ebflow
[NeurIPS 2023] Training Energy-Based Normalizing Flow with Score-Matching Objectives