In this paper, we propose VisFlow, a web-based visualization framework for tabular data that employs a specific type of data flow model called the subset flow model. VisFlow focuses on interactive ...

TabPFGen is a Python library for generating high-quality synthetic tabular data using energy-based modeling and stochastic gradient Langevin dynamics (SGLD). It supports both classification and ...

SHAP accepts black box models for tabular data, PyTorch/Tensorflow models for image data, transformer models for text data.Counterfactual accepts black box models for tabular, text and time-series ...

Good ol' spreadsheet data could benefit from 'revolutionary' approach to ML inferences Move over ChatGPT and DALL-E: Spreadsheet data is getting its own foundation machine learning model, allowing ...

New AI model TabPFN enables faster and more accurate predictions on small tabular data sets. ScienceDaily . Retrieved June 11, 2025 from www.sciencedaily.com / releases / 2025 / 01 / 250109125630.htm ...

French startup Neuralk-AI is an artificial intelligence company that has been working on AI models focused on tabular data. The company this week announced $4 million in funding.

Tabulating the number of objects in categories of interest dates back to the earliest records of commerce and population censuses.

In this paper, we propose VisFlow, a web-based visualization framework for tabular data that employs a specific type of data flow model called the subset flow model. VisFlow focuses on interactive ...