Kernel Density Estimation in Python

Kernel density estimators for Julia

MCMC sample analysis, kernel densities, plotting, and GUI

⚡ Lightning fast density estimation in Julia ⚡

kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order

Kernel Density Estimation and (re)sampling

PyBNesian is a Python package that implements Bayesian networks.

An R package to perform spatial analysis on networks.

Multivariate kernel density estimation

Kernel density estimation in Rust.

Kernel density estimation on a sphere

learning state-space targets in dynamical systems

Random Forests for Density Estimation in Python

fast kernel evaluation in high dimensions via hashing

Equipping Diffusion Models with Differentiable Spatial Entropy for Low-Light Image Enhancement, CVPRW 2024. Best LPIPS in NTIRE chanllenge.

Kernel density estimation via diffusion in 1d and 2d.

Predicting Bike Rental Demand using Linear and Non-linear Regression Models

Codebase for "A Consistent and Differentiable Lp Canonical Calibration Error Estimator", published at NeurIPS 2022.

An R package for kernel density estimation with parametric starts and asymmetric kernels.

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