GitHub

TabICLv2: A state-of-the-art tabular foundation model

This repository is the official implementation of TabICLv2 (ICML 2026) and TabICL (ICML 2025). State-of-the-art accuracy even without hyperparameter tuning: TabICLv2 is the new state-of-the-art model ...
Frontiers

BrainInsights: a comprehensive framework for pre-processing, analysis, and interpretation of neuroimaging data using traditional statistics and machine learning

Neuroimaging presents us with an in-depth understanding about brain structure and function, yet the data complexity poses significant analytical challenges. Current frameworks suffer from issues such ...
GitHub

AutoPrognosis - A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.

Note: The R bindings have been tested using R version 4.2 and Python 3.8. N_OPT_JOBS Number of cores to use for hyperparameter search. Default : 1 N_LEARNER_JOBS Number of cores to use by inidividual ...
C&EN

The Application of a Random Forest Classifier to ToF-SIMS Imaging Data

You are free to share (copy and redistribute) this article in any medium or format and to adapt (remix, transform, and build upon) the material for any purpose, even commercially within the parameters ...
C&EN

Recent Developments in Machine Learning for Mass Spectrometry

Department of Chemistry, Purdue University, 560 Oval Drive, West Lafayette, Indiana 47907, United States Department of Computer Science (by courtesy), Purdue University, West Lafayette, Indiana 47907, ...