AZoBuild

Machine Learning Improves Strength Predictions in Concrete

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
note

The boy who used to take apart radios started writing Python in his 50s

I started learning Python after I turned 50. That was also when I started working seriously with data analysis, AI, and AWS. I haven't been in IT my whole life since I was young. In fact, I think I've ...
Hacker

The Reproducibility Crisis Is Coming for Enterprise LLM Deployments

Research ML has spent a decade learning that stochastic outputs and undocumented environments make findings unverifiable. Enterprise LLM deployments are quietly making the same mistakes — and ...
GitHub

ARDY: Autoregressive Diffusion with Hybrid Representation for Interactive Human Motion Generation

ARDY is an autoregressive diffusion model designed for interactive motion generation, supporting online text prompting and flexible long-horizon kinematic constraints (root paths/waypoints, full-body ...
GitHub

python-reference_catboostclassifier_get_feature_importance.md

{ { python--required }} for the { { title__regular-feature-importance-LossFunctionChange }} and { { title__ShapValues }} type of feature importances and in case the model does not contain information ...
The Lancet

Prediction of hypertension and restenosis under guideline-directed management in aortic coarctation: development and validation of machine-learning models

aInstitute of Computer-Assisted Cardiovascular Medicine, Deutsches Herzzentrum der Charité Augustenburger Platz 1, 13353 Berlin, Germany bDepartment of Congenital Heart Disease – Pediatric Cardiology, ...