Search Packages

kdepy

Kernel Density Estimation in Python

getdist

MCMC sample analysis, kernel densities, plotting, and GUI

kditransform

Kernel density integral transformation: feature preprocessing and univariate clustering (TMLR, 2023)

pybnesian

PyBNesian is a Python package that implements Bayesian networks.

kalepy

Kernel Density Estimation and (re)sampling

kde-diffusion

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

torch-kde

A differentiable implementation of kernel density estimation in PyTorch.

lightkde

Lightning fast, lightweight, and reliable kernel density estimation for 1d and 2d samples

kramersmoyal

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

fseq2

Improving the feature density based peak caller with dynamic statistics

explx

A Python package for exploratory data analysis

mvgkde

MultiVariate Gaussian Kernel Density Estimation

beta-kde

Beta Kernel Density Estimation compatible with Scikit-learn

spherical-kde

Kernel density estimation on a sphere

polyexpkde

Fast univariate kernel density estimation with the polynomial-exponential kernel