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Projects in Awesome Lists tagged with kernel-density-estimation

A curated list of projects in awesome lists tagged with kernel-density-estimation .

https://github.com/juliastats/kerneldensity.jl

Kernel density estimators for Julia

julia kernel-density-estimation statistics

Last synced: 04 Apr 2025

https://github.com/JuliaStats/KernelDensity.jl

Kernel density estimators for Julia

julia kernel-density-estimation statistics

Last synced: 04 May 2025

https://github.com/cmbant/getdist

MCMC sample analysis, kernel densities, plotting, and GUI

contour-plot kernel-density-estimation mcmc plotting-in-python sampling-methods statistical-inference

Last synced: 15 May 2025

https://github.com/lrydin/kramersmoyal

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

diffusion drift drift-diffusion kernel-density-estimation nadaraya-watson stochastic stochastic-differential-equations stochastic-process

Last synced: 01 Jul 2025

https://github.com/pizhn/multikde.jl

Multivariate kernel density estimation

julia kernel-density-estimation nonparametric-statistics statistics

Last synced: 11 Dec 2025

https://github.com/jkirkby3/BsplineDensity

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

basis bsplines density estimation kde kernel kernel-density kernel-density-estimation maximum-likelihood maximum-likelihood-estimation nonparametric nonparametric-regression nonparametric-statistics spline-fit statistics

Last synced: 10 Mar 2025

https://github.com/eshansurendra/cell_anomaly_detection_using_autoencoders

This repository offers a TensorFlow-based anomaly detection system for cell images using adversarial autoencoders, capable of identifying anomalies even in contaminated datasets. Check out our code, pretrained models, and papers for more details.

anomaly-detection autoencoder deep-learning h5 keras kernel-density-estimation machine-learning neural-network tensorflow

Last synced: 14 Oct 2025

https://github.com/m-wells/kdestimation.jl

Provides a general framework for implementing and performing Kernel Density Estimation

julia kernel-density-estimation

Last synced: 10 Apr 2025

https://github.com/rudolfwilliam/torch-kde

A differentiable implementation of kernel density estimation in PyTorch.

kernel-density-estimation python pytorch scikit-learn

Last synced: 31 Oct 2025

https://github.com/nstarman/mvgkde

MultiVariate Gaussian Kernel Density Estimation

kernel-density-estimation multivariate-analysis

Last synced: 03 Sep 2025

https://github.com/axect/kde_from_scratch

Kernel Density Estimation from scratch in Rust

kernel-density-estimation peroxide rust

Last synced: 15 Sep 2025

https://github.com/tupui/kdoe

Kernel-based Design of Experiments

design-of-experiments kernel-density-estimation python

Last synced: 10 Jul 2025

https://github.com/mynameisvinn/piekde

simple implementation of kernel density estimator

kernel-density-estimation

Last synced: 05 Nov 2025

https://github.com/mrshoenel/r-mmb

R package for arbitrary dependency mixed multivariate bayesian models for regression, classification and neighborhood search using joint probabilities and Kernel Density Estimation.

bayes-classifier cran kernel-density-estimation neighborhood-search package r regression-models

Last synced: 31 Jan 2026

https://github.com/mrtejas/ml-algos

A collection of fundamental Machine Learning Algorithms Implemented from scratch along-with their applications for various ML tasks like clustering, thresholding, data analysis, prediction, regression and image classification.

adaboost bagging-ensemble decision-trees gmm-clustering gradient-boosting hidden-markov-models kernel-density-estimation knn-classification machine-learning mlp-classifier mlp-regressor multinomial-logistic-regression pca-analysis random-forest stacking-ensemble

Last synced: 15 May 2025

https://github.com/kisoo95/writing-korean-text-on-empty-space-of-document-image

문서 빈공간에 한국어를 쓸 수 있게 만들어주는 함수를 만들었습니다. I have created a function that allows you to write in Korean in the blank spaces of a document

image image-thresholding kde kernel-density-estimation korean opencv opencv-python opencv2-python python

Last synced: 17 Mar 2025

https://github.com/egonmedhatten/beta-kde

Beta Kernel Density Estimation compatible with Scikit-learn

beta-kernel boundary-bias kde kernel-density-estimation

Last synced: 14 Jan 2026

https://github.com/icrichmond/harespaceuse

Code, data, and results for Richmond et al. Individual herbivores manage risk differently: Stoichiometric distribution models with snowshoe hares. Manuscript published at Journal of Mammalogy.

bayesian-statistics ecological-stoichiometry ecology food-quality kernel-density-estimation perceived-predation-risk

Last synced: 08 Apr 2025

https://github.com/sag2021/kde_sphere

Module for Kernel-Density Estimation (KDE) on sphere

kernel-density-estimation spatial-statistics spherical-geometry

Last synced: 21 Jun 2025

https://github.com/ngiann/fastparzenwindows.jl

Fast Parzen Windows: a kernel-based method for non-parametric probability density function.

julia kernel-density-estimation statistics

Last synced: 28 Mar 2025