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 on a sphere

learning state-space targets in dynamical systems

Kernel density estimation in Rust.

Random Forests for Density Estimation in Python

fast kernel evaluation in high dimensions via hashing

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

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

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.