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}
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
Fit, evaluate, and visualise generalised additive models (GAMs) in native Julia
ggplot-based graphics and useful functions for GAMs fitted using the mgcv package
A workshop on using generalized additive models and the mgcv package.
Personal coach to help you obtain desired AI decisions!
A function that takes as input a cropped text line image, and outputs the dewarped image.
R code to replicate analyses in Clark et al 2025 (Beyond single-species models: leveraging multispecies forecasts to navigate the dynamics of ecological predictability)
An introduction to GAM(M)s
GAM workshop for NHS-R Community Conference 2023
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.
Workshop 8 - Generalized additive models (GAMs)
The dataset used for the "A non-contact SpO2 estimation using video magnification and infrared data" publication
Paper on identifying patterns in economic development using statistical learning
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