Research on Tabular Deep Learning: Papers & Packages

• UpdatedNov 13, 2024
• Python

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

• UpdatedSep 29, 2025
• Python

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

• UpdatedJul 13, 2024
• Python

Reactive datatables for large or small datasets

• UpdatedAug 12, 2025
• JavaScript

ML models + benchmark for tabular data classification and regression

• UpdatedNov 5, 2025
• Python

Mambular is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and distributional regression tasks. It includes models such as Mambular, TabM, FT-Transformer, TabulaRNN, TabTransformer, and tabular ResNets.

• UpdatedAug 6, 2025
• Python

Useful code for tabular modeling and automation.

• UpdatedDec 2, 2024
• C#

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)

• UpdatedApr 22, 2025
• Ruby

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

• UpdatedDec 9, 2024
• Python

R interface to fast.ai

• UpdatedFeb 15, 2025
• HTML

Connect to PBI/AAS Models via Python

• UpdatedMay 4, 2025
• Python

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

• UpdatedNov 6, 2025

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".

• UpdatedNov 4, 2025
• Python

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

• UpdatedMar 3, 2025
• TypeScript

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

• UpdatedMar 25, 2023
• Python

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

• UpdatedFeb 20, 2022
• C#

This is a curated list of research on diffusion models for tabular data, and serves as the official repository for the survey paper "Diffusion Models for Tabular Data: Challenges, Current Progress, and Future Directions"

• UpdatedOct 13, 2025

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

• UpdatedOct 8, 2025
• Python

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

• UpdatedJul 25, 2024
• Inno Setup

Awesome Comma-Separated Values (CSV) - What's Next? - Frequently Asked Questions (F.A.Q.s) - Libraries & Tools

• UpdatedNov 27, 2018