tabular

Research on Tabular Deep Learning: Papers & Packages

A comprehensive toolkit and benchmark for tabular data learning, featuring 35+ deep methods, more than 10 classical methods, and 300 diverse tabular datasets.

[ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"

ML models + benchmark for tabular data classification and regression

Reactive datatables for large or small datasets

The SemanticOps MCP (formerly MCP Engine) is a Power BI tool that lets AI assistants like Claude interact with your Power BI models programmatically: read your model structure, run DAX queries, modify your semantic model, and perform advanced analytics - all through natural conversation.

My collection of wallpapers!

Useful code for tabular modeling and automation.

Implementation of the sap-rpt-1-oss deep learning model with inference pipeline as described in the paper "ConTextTab: A Semantics-Aware Tabular In-Context Learner".

csvreader library / gem - read tabular data in the comma-separated values (csv) format the right way (uses best practices out-of-the-box with zero-configuration)

Awesome Tabular Deep Learning for "Representation Learning for Tabular Data: A Comprehensive Survey"

TAT-QA (Tabular And Textual dataset for Question Answering) contains 16,552 questions associated with 2,757 hybrid contexts from real-world financial reports.

R interface to fast.ai

This is a curated list of research on diffusion and flow matching models for tabular data, and serves as the official repository for the survey paper "Diffusion and Flow Matching Models for Tabular Data: A Survey"

Connect to PBI/AAS Models via Python

Data annotator for machine learning allows you to centrally create, manage and administer annotation projects for machine learning

A framework for dynamically creating a tabular model based on an Excel template.

Scaling In-context Learning from Few-shot to 1,024-shot on Tabular ML

Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight).

OLAP PivotTable Extensions is an Excel add-in which extends the functionality of PivotTables on Analysis Services cubes, the Excel Data Model (Power Pivot), and Power BI