generalized-additive-models
There are 87 repositories under generalized-additive-models topic.
hurshd0/must-read-papers-for-ml
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
gavinsimpson/gratia
ggplot-based graphics and useful functions for GAMs fitted using the mgcv package
nicholasjclark/mvgam
{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for time series analysis and forecasting
m-clark/generalized-additive-models
A document introducing generalized additive models.📈
nicholasjclark/physalia-forecasting-course
Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}
anishsingh20/Statistical-Learning-using-R
This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.
SelfExplainML/GamiNet
GAMI-Net: Generalized Additive Models with Structured Interactions
hendersontrent/GAM.jl
Fit, evaluate, and visualise generalised additive models (GAMs) in native Julia
LCBC-UiO/galamm
An R package for estimating generalized additive mixed models with latent variables
m-clark/generalized-additive-models-workshop-2019
A workshop on using generalized additive models and the mgcv package.
gavinsimpson/schoenberg
ggplot-based graphics and useful functions for GAMs fitted using the mgcv package
poloclub/gam-coach
Personal coach to help you obtain desired AI decisions!
TomStog/curved-text-alignment
A function that takes as input a cropped text line image, and outputs the dewarped image.
chrismainey/GAMworkshop
GAM workshop for NHS-R Community Conference 2023
QCBSRworkshops/workshop08
Workshop 8 - Generalized additive models (GAMs)
stefanocoretta/gamm-workshop
An introduction to GAM(M)s
TomStog/Infrared-SpO2
The dataset used for the "A non-contact SpO2 estimation using video magnification and infrared data" publication
cbrummitt/machine_learned_patterns_in_economic_development
Paper on identifying patterns in economic development using statistical learning
satyakamacodes/Exploring-the-non-linear-relationship-between-Crimes-and-GDP-using-Generalized-Additive-Models
This repository contains the script and figures of the conference paper selected for presentation at the Latin American Conference of Computationa Intelligence 2018. The abstract of the paper is as follows: Crime is an important social and economic problem of South Africa. Though certain categories of crimes are of serious proportions, yet on aggregate the overall crime situation in the country has considerably improved in the last decade or so. A number of previous studies across other countries have shown a positive or negative relationship between crime and economic growth. On a microeconomic/provincial scale, this paper studies the relationship between various categories of crimes and economic growth using the non-linear modeling technique of Generalized Additive Models. Such a modeling approach helps in understanding how various categories of crimes complexly affect GDP.
TomStog/Infrared-BP
The dataset used for the "Non-Contact Blood Pressure Estimation using infrared motion magnified facial video" publication. The code developed is to fit the data to the reference Blood Pressure values.
3DGenomes/binless
Resolution-independent normalization of Hi-C data
hsbadr/additive
Bindings for Additive TidyModels
JoKra1/mssm
Toolbox to estimate Generalized Additive Mixed Models and their (Markov-switching) extensions in Python
yelbachir/multgam_pkg
Rcpp package implementing automatic smoothing for multiple generalized additive models.
m-clark/stars
structured additive regression models talk
matt-sd-watson/biostatistics_in_r
biostatistical workflows in R covering regression and classification models
ngiangre/kidsides
a database for pediatric drug safety signals
bma114/corroded-RC-beam-moment-capacity
Example machine learning implementation to predict the residual bending moment capacity of corroded reinforced concrete beams tested under monotonic three or four-point bending. Data is collected from 54 experimental programs available in the literature.
clissa/Statistical_Learning
Overview of statistical learning methods for classification
gavinsimpson/ncse-seminar-2022
National Centre for Statistical Ecology seminar, Feb 9th, 2022
SelfExplainML/GAMMLI
Explainable Recommendation Systems
arturstat/smoothHR
Smooth Hazard Ratio Curves Taking a Reference Value
bma114/corroded-steel-machine-learning
Example machine learning applications for the determination of the residual yield force of corroded steel bars tested under monotonic tensile loading. Data is collected from 26 experimental programs avaialbe in the literature.
ctesta01/covid.gradient.estimation
Using generalized additive models to analyze COVID-19 US county level mortality data
GreatArcStudios/Non-Linear-Election-Predictions
Predicting Elections Using GAMs and Post-Stratification
inesortega/neuralGAM
An R package which provides a a neural network framework based on Generalized Additive Models