This project will produce RobStatTM-Py, a Python library exposing the target RobStatTM function set for this project through lightweight rpy2...

This project implements a new R package that brings multilingual documentation to R help pages with correct support for dynamic content generated by...

R's standard file reading functions must ingest data into memory before any filtering can occur, creating a hard memory ceiling for large datasets....

This project aims to extend the mlr3torch ecosystem by implementing AUC-oriented loss functions and training-time sampling strategies for imbalanced...

Changepoint detection is widely used in modern data streams, but current regression based changepoint methods are limited in flexibility. Existing...

This project proposes mlr3hf, an R package for integrating Hugging Face datasets into the mlr3 ecosystem. The package will allow users to download...

The central task in this project is to take the mentors’ existing confidence-set prototype and develop it into a maintainable package feature. The...

This project is about extending the gamboostLSS package by flexible copula regression via gradient boosting. Currently the framework only supports...

Problem: R remains the gold standard in bioinformatics thanks to Bioconductor. However, many data scientists prefer Python for machine learning and...

The {torchvision} library in mlverse is already near-feature-parity with the PyTorch library, but certain performance optimisation and...

This project's goal is to improve the accessibility and sustainability of the glmmTMB R package by replacing its C++-based TMB backend with a more...

This project implements five concrete improvements to animint2 across the R compiler, animint.js renderer, and CI pipeline. First, polygon holes via...

Offline change-point detection is a widely used statistical technique for identifying structural breaks in sequential data, with applications in...

This proposal aims to extend the ecotourism R package developed during GSoC 2025 by updating the tourism data to include most of 2025, creating...

Virtual niche simulations are a powerful tool for testing ecological theory, and nicheR provides an integrated, R-native framework for...

animint2 is an R package that translates ggplot2 graphics into interactive animated web visualizations using D3.js and a custom JavaScript renderer...

Stochastic simulation is essential in computational biology and infectious disease modelling, but existing methods require a trade-off between...

This project focuses on extending the imputeTestbench R package to better support modern time series data. The current package works well for...

The project will develop a high-performance Rust backend for graph-based spatial smoothing of hyperspectral images, delivered through an R package,...

The torchvision package in the mlverse ecosystem provides essential tools for computer vision workflows in R, including datasets, transformations,...

This project will extend the tourr R package by adding new projection pursuit indices (PPIs) based on scagnostics, so users can search for a wider...

This project aims to extend the classbound R package into a general framework for exploring and comparing classification boundaries across a wide...

The proposal includes detailed information about me (such as my qualifications and other relevant details), project details, my approach to the...

Problem: Imbalanced datasets pose a significant challenge in machine learning, where standard metrics like accuracy can falsely evaluate a model that...

This project extends the gfpop R package to support time-dependent constraints. Instead of using a fixed constraint graph, the graph can change at...