Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
ggplot-based graphics and useful functions for GAMs fitted using the mgcv package
{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting
A document introducing generalized additive models.📈
Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}
Fit, evaluate, and visualise generalised additive models (GAMs) in native Julia
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.
GAMI-Net: Generalized Additive Models with Structured Interactions
An R package for estimating generalized additive mixed models with latent variables
A workshop on using generalized additive models and the mgcv package.
ggplot-based graphics and useful functions for GAMs fitted using the mgcv package
A function that takes as input a cropped text line image, and outputs the dewarped image.
Personal coach to help you obtain desired AI decisions!
Toolbox to estimate, automatically regularize, and select between Generalized Additive Mixed Models and their extensions in Python
R code to replicate analyses in Clark et al 2025 (Beyond single-species models: leveraging multispecies forecasts to navigate the dynamics of ecological predictability)
Workshop 8 - Generalized additive models (GAMs)
GAM workshop for NHS-R Community Conference 2023
The dataset used for the "A non-contact SpO2 estimation using video magnification and infrared data" publication
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.
An introduction to GAM(M)s
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