GitHub topics: kernel-density-estimation

Repositories

vengveng/Portfolio-Construction-With-Gaussian-Mixture-Models

Reproducibility repository for "Portfolio Construction with Gaussian Mixture Models" thesis. Complete implementation of 9 portfolio optimization strategies including novel KDE/GMM approaches, with C acceleration, multiple solvers (CVXPY/IPOPT/SciPy), and full backtesting framework. All figures/tables regenerable.

Language: Jupyter Notebook - Size: 104 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

cmbant/getdist

MCMC sample analysis, kernel densities, plotting, and GUI

Language: Python - Size: 73.7 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 165 - Forks: 54

rudolfwilliam/torch-kde

A differentiable implementation of kernel density estimation in PyTorch.

Language: Jupyter Notebook - Size: 635 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 9 - Forks: 3

JuliaStats/KernelDensity.jl

Kernel density estimators for Julia

Language: Julia - Size: 658 KB - Last synced at: 1 day ago - Pushed at: 22 days ago - Stars: 191 - Forks: 41

tommyod/KDEpy

Kernel Density Estimation in Python

Language: Jupyter Notebook - Size: 11.5 MB - Last synced at: 1 day ago - Pushed at: about 2 months ago - Stars: 617 - Forks: 93

LRydin/KramersMoyal

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

Language: Python - Size: 4.69 MB - Last synced at: 3 days ago - Pushed at: 6 months ago - Stars: 74 - Forks: 12

munas-git/hotel_booking_price_elasticity_modeling_and_customer_segmentation

Modeling hotel booking demand and segmenting guests using price elasticity analysis, statistical modeling, and behavioral clustering to inform targeting and STP strategies.

Language: Jupyter Notebook - Size: 9.05 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

spatstat/spatstat.linnet

Sub-package of spatstat containing code for linear networks

Language: R - Size: 927 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 6 - Forks: 2

nstarman/mvgkde

MultiVariate Gaussian Kernel Density Estimation

Language: Python - Size: 339 KB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 2 - Forks: 0

seatonullberg/kernel-density-estimation

Kernel density estimation in Rust.

Language: Rust - Size: 232 KB - Last synced at: 5 days ago - Pushed at: over 1 year ago - Stars: 27 - Forks: 5

ksanjeevan/randomforest-density-python

Random Forests for Density Estimation in Python

Language: Python - Size: 920 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 27 - Forks: 7

lquenti/blackheap 📦

An blackbox approach to I/O modelling. (Migrated to Codeberg)

Language: C - Size: 9.76 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 5 - Forks: 0

L-Koren/wSTKDE

Weighted Spatio-Temporal Kernel Density Estimation (wSTKDE)

Language: Jupyter Notebook - Size: 86.2 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 4 - Forks: 1

eigenein/rust-hyperopt

Tree-of-Parzen-estimators hyperparameter optimization

Language: Rust - Size: 114 KB - Last synced at: 21 days ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0

calvinmccarter/kditransform

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

Language: Python - Size: 15.4 MB - Last synced at: 10 days ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 0

joshday/AverageShiftedHistograms.jl

⚡ Lightning fast density estimation in Julia ⚡

Language: Julia - Size: 10.9 MB - Last synced at: 11 days ago - Pushed at: over 1 year ago - Stars: 76 - Forks: 10

bifurcationkit/BifurcationInference.jl

learning state-space targets in dynamical systems

Language: Julia - Size: 45.4 MB - Last synced at: 8 days ago - Pushed at: about 1 year ago - Stars: 28 - Forks: 2

williamjameshandley/spherical_kde

Kernel density estimation on a sphere

Language: Python - Size: 896 KB - Last synced at: 6 days ago - Pushed at: over 3 years ago - Stars: 29 - Forks: 9

JeremyGelb/spNetwork

An R package to perform spatial analysis on networks.

Language: R - Size: 217 MB - Last synced at: 23 days ago - Pushed at: 3 months ago - Stars: 37 - Forks: 3

YenLinWu/Daily_Work_of_Data_Science

資料科學的日常研究議題

Language: Jupyter Notebook - Size: 19.1 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 1

lzkelley/kalepy

Kernel Density Estimation and (re)sampling

Language: Python - Size: 99.6 MB - Last synced at: 3 days ago - Pushed at: about 2 years ago - Stars: 61 - Forks: 12

john-hen/KDE-diffusion

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

Language: Python - Size: 2.99 MB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 16 - Forks: 5

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.

Language: Jupyter Notebook - Size: 2.63 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 9 - Forks: 0

JonasMoss/kdensity

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

Language: R - Size: 1.37 MB - Last synced at: 3 days ago - Pushed at: 4 months ago - Stars: 16 - Forks: 4

pizhn/MultiKDE.jl

Multivariate kernel density estimation

Language: Julia - Size: 108 KB - Last synced at: 24 days ago - Pushed at: 4 months ago - Stars: 34 - Forks: 1

m-wells/KDEstimation.jl

Provides a general framework for implementing and performing Kernel Density Estimation

Language: Julia - Size: 311 KB - Last synced at: 20 days ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 2

rizkaameliads/accessibility-analysis-transjakarta

This project aims to understand the distribution pattern of tourism object points and discover whether the location of Transjakarta Shelters in Jakarta (Kepulauan Seribu Regency is excluded) can reach all tourist destinations by employing GIS and spatial data programming tools.

Language: Jupyter Notebook - Size: 1.73 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

mike-liuliu/gl_index

Source code of the paper "A New Index for Clustering Evaluation Based on Density Estimation."

Language: Jupyter Notebook - Size: 74.4 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

LixiangZhao98/PointCloud-Visualization-Tool

Kernel density estimation algorithm on GPU for point cloud visualization. ply/pcd/txt/bin are supported to import/export.

Language: C# - Size: 114 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 11 - Forks: 2

akomarla/inventory_optimization

Modeling errors in SSD market demand forecasts to improve supply planning like safety-stock allocations

Language: Jupyter Notebook - Size: 8.78 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 4 - Forks: 0

parham1998/Kernel-Density-Estimation

Implementation of Kernel-Density-Estimation (KDE) with Matlab

Language: MATLAB - Size: 668 KB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 2

jkirkby3/BsplineDensity

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

Language: MATLAB - Size: 24.4 KB - Last synced at: 4 months ago - Pushed at: almost 4 years ago - Stars: 14 - Forks: 3

ffancheng/kderm

Distortion-corrected kernel density estimate on Riemannian manifolds

Language: HTML - Size: 357 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

lance-waller-lab/envi

Environmental Interpolation using Spatial Kernel Density Estimation

Language: R - Size: 7.32 MB - Last synced at: 1 day ago - Pushed at: 8 months ago - Stars: 1 - Forks: 3

sag2021/KDE_sphere

Module for Kernel-Density Estimation (KDE) on sphere

Language: Python - Size: 143 KB - Last synced at: 9 days ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Boyle-Lab/F-Seq2

Improving the feature density based peak caller with dynamic statistics

Language: Python - Size: 16.8 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 6 - Forks: 0

JaewonSon37/Advanced_Machine_Learning

Language: Jupyter Notebook - Size: 11 MB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

SeyedMuhammadHosseinMousavi/Synthetic-Data-Generation-by-Kernel-Density-Estimation

Synthetic Data Generation by Kernel Density Estimation (KDE)

Language: MATLAB - Size: 3.91 KB - Last synced at: 10 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

davenza/PyBNesian

PyBNesian is a Python package that implements Bayesian networks.

Language: C++ - Size: 18.1 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 38 - Forks: 10

Omid-Eghlidos/kde

Kernel Density Estimation of radial, bond, angle, torsion angle, and improper angle distribution functions of an atomic or coarse-grained molecular system.

Language: C++ - Size: 8.49 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

shadow111/DataScience

Size: 0 Bytes - Last synced at: 10 months ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 0

sdeepak09/MTH_516_Non_parametric_Inference_IITK

This repository contains Materials for Non-Parametric Inference

Language: R - Size: 1.32 MB - Last synced at: 10 months ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 0

kexinrong/rehashing

fast kernel evaluation in high dimensions via hashing

Language: C++ - Size: 66.2 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 23 - Forks: 5

fardinabbasi/ParzenWindow

Performing non-parametric Parzen Window density estimation with a Gaussian kernel, implementing the method both from scratch and using built-in functions, and compares the results across various window widths and sample sizes.

Language: Jupyter Notebook - Size: 2.82 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

rahul2992/outlier_kde

Using kernel density estimation to detect outliers in California's medicare data

Language: Python - Size: 2.93 KB - Last synced at: 11 months ago - Pushed at: over 8 years ago - Stars: 3 - Forks: 3

juliorodrigues07/tumour_detection

Brain tumour detector built with YOLOv8 model.

Language: Jupyter Notebook - Size: 148 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 1

cbanerji/Density-estimators

Collection of classical density estimators e.g. mixture models, kernel density estimator etc.

Language: Jupyter Notebook - Size: 79.1 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

Mayurd9/KDE-test

This code is the implementation of the research paper: Statistical change detection for multi-dimensional data. Xiuyao Song, Mingxi Wu, Christopher Jermaine, and Sanjay Ranka. 2007 In Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining. Association for Computing Machinery,New York,NY,USA,667–676.

Language: Jupyter Notebook - Size: 38.1 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

jalal1/UberSim

Language: Jupyter Notebook - Size: 25.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 1

TrippBishopStats/Denver-Crime-Analysis

An analysis of Denver Crime for 2010-2021 using data available from Denver Open Data.

Language: R - Size: 29 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

stutinayak/Reimagined_party_distribution

Analyzing the Chapel Hill Expert dataset

Language: Jupyter Notebook - Size: 16.5 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

Axect/KDE_from_scratch

Kernel Density Estimation from scratch in Rust

Language: Rust - Size: 562 KB - Last synced at: 3 days ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

saikiranpennam/sugarbeet_analysis

To aid with the prototyping of AI and machine learning models to augment process operations at the Western Sugar Scotts Bluff manufacturing facility and to further investigate several predictive models for fault detection, optimizing sensor placement, and minimizing plant disruption.

Language: HTML - Size: 48.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

rasigadelab/thd

Time-scaled haplotypic density (THD) implementation for R. Estimates epidemic success from pathogen genetic data.

Language: R - Size: 518 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

charlesdavid/JED

JED is a program for performing Essential Dynamics of protein trajectories written in Java. JED is a powerful tool for examining the dynamics of proteins from trajectories derived from MD or Geometric simulations. Currently, there are two types of PCA: distance-pair and Cartesian, and three models: COV, CORR, and PCORR.

Language: HTML - Size: 286 MB - Last synced at: about 1 year ago - Pushed at: about 7 years ago - Stars: 5 - Forks: 3

juliorodrigues07/ny_rent_pricing 📦

Rent pricing prediction on NY properties with interactive dashboards.

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MJAHMADEE/Machine-Learning-and-Fault-Detection

Machine Learning and Fault Detection

Language: Jupyter Notebook - Size: 6.49 MB - Last synced at: 4 months ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

itsmattei/KEN

KEN: Unleash the power of large language models with the easiest and universal non-parametric pruning algorithm

Language: Python - Size: 32 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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

Language: Jupyter Notebook - Size: 34.2 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 174 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ngiann/FastParzenWindows.jl

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

Language: Julia - Size: 139 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

dorisyan1122/Non-Paramatric-Testing

Program Evaluation with Non-Parametric Statistics and Hypothesis Testing

Language: HTML - Size: 856 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

TNO/lightkde

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

Language: Python - Size: 60.5 KB - Last synced at: 11 months ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

DigitalGeographyLab/BorderRegion_KDE

BorderRegion_KDE is a program to calculate a geographical Kernel Density Estimation (KDE) polygons derived from human mobility across country borders to map functional cross-border regions. The work is part of the BORDERSPACE project at the Digital Geography Lab, University of Helsinki.

Language: Python - Size: 10.3 MB - Last synced at: 2 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

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.

Language: R - Size: 456 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

yenchic/HDLV

Language: R - Size: 12.7 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 1

gholomia/KDEPlot

Implementation of 1-D and 2-D Kernel Density Estimation Methods in Python using Numpy and Matplotlib Only.

Language: Python - Size: 382 KB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 4 - Forks: 0

YannPlanque/Foraging_Areas_with_Dive_Data

Seal foraging areas identified by analysing the dive data obtained from telemetry tracking. Select the likely foraging dives using a vertical approach (Planque et al. 2020), and spatialise them with Kernel densities.

Language: R - Size: 14.6 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

knowthebird/KernelDensityEstimator

Non parametric Kernel Density Estimator / Classifier. Allows user to input bandwidth but does not find it. Can classify for N dimensions, but can only plot class / decision boundaries for 2.

Language: Python - Size: 116 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

calvinmccarter/polyexpkde

Fast univariate kernel density estimation with the polynomial-exponential kernel

Language: Python - Size: 211 KB - Last synced at: 8 days ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

hewenbin/sde

OpenGL and WebGL based kernel density estimation library

Language: JavaScript - Size: 3.19 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 4 - Forks: 2

Rheinwalt/gaussian_kde_gpu

GPU Gaussian kernel density estimation

Language: Jupyter Notebook - Size: 911 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 1

UP-RS-ESP/gaussian_kde_gpu Fork of Rheinwalt/gaussian_kde_gpu

GPU Gaussian kernel density estimation

Language: Jupyter Notebook - Size: 910 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

john-fante/Simple-New-Sample-Generation-from-MNIST-w-KDE

Language: Jupyter Notebook - Size: 403 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

lance-waller-lab/gateR

Flow/Mass Cytometry Gating via Spatial Kernel Density Estimation

Language: R - Size: 4.51 MB - Last synced at: 1 day ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 3

dannbuckley/KDE_1D

Univariate kernel density estimation example

Language: Jupyter Notebook - Size: 49.8 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

KevinMoonLab/EnDive

KDE-based ensemble divergence estimator

Language: MATLAB - Size: 46.9 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

martinnff/Directional-clustering

EDA and unsupervised learning tools for directional data.

Language: R - Size: 6.58 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

siyuanligit/Bike-Sharing-Demand-Kaggle

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

Language: R - Size: 1.7 MB - Last synced at: over 2 years ago - Pushed at: about 8 years ago - Stars: 11 - Forks: 13

tpopordanoska/ece-kde

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

Language: Python - Size: 2.93 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

sungyubkim/if_classic

A brief notebook on Influence Function (IF) for classical generative models (e.g., k-NN, KDE, GMM)

Language: Jupyter Notebook - Size: 2.83 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

RishiDarkDevil/Background-Subtraction-KDE

This deals with using Kernel Density Estimation to obtain fast video background subtraction for extraction of moving subjects

Language: HTML - Size: 8.35 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

yenchic/EMC

Language: R - Size: 8.79 KB - Last synced at: about 2 years ago - Pushed at: about 8 years ago - Stars: 3 - Forks: 2

pinouche/kernel_mean_embedding_distribution-regression

code for the KDD 2019 workshop paper https://arxiv.org/abs/1904.10583. Kernel mean embedding for distribution regression.

Language: Jupyter Notebook - Size: 10.7 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

Develop-Packt/Hotspot-Analysis

We will visualize the results of hotspot analysis and use kernel density estimation, which is the most popular algorithm for building distributions using a collection of observations. By the end of the course, you should be able to leverage Python libraries to build multi-dimensional density estimation models and work with geo-spatial data.

Language: Jupyter Notebook - Size: 19.3 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 4