GitHub

PyTabKit: Tabular ML models and benchmarking (NeurIPS 2024)

To get the best possible results: The code above will automatically select a GPU if available, try to detect categorical columns in dataframes, preprocess numerical variables and regression targets ...
IEEE

An Interpretable Adaptive Multiscale Attention Deep Neural Network for Tabular Data

Abstract: Deep learning (DL) has been demonstrated to be a valuable tool for analyzing signals such as sounds and images, thanks to its capabilities of automatically extracting relevant patterns as ...
GitHub

mehmet-kozan/pdf-parse

Thanks for your support! Your sponsorship helps fund ongoing maintenance, bug fixes, and new features.
IEEE

Gradient Boosting-Based Predictive Uncertainty Estimation for Tabular Data Using Statistical Variance and Proper Scoring Rule

Abstract: Tabular data is the most widely used data form in real-world applications, and tree-based models are suitable for it due to their model structures. In practice, it is crucial to quantify ...
Wall Street Journal

Locals Are Using AI to Fight Data Centers Being Built in Their Backyards

CINCINNATI—Late at night, or when her 18-month-old daughter is napping, Jessica Sharp logs onto Chat GPT and asks it to help her in her fight to stop a data center from being built just steps away ...
The Guardian

The internet’s favourite format: how the PDF conquered the digital world

Paid content is paid for and controlled by an advertiser and produced by the Guardian Labs team. An Adobe expert explains why the Portable Document Format remains so popular worldwide – and what AI ...