β‘ TabPFN: Foundation Model for Tabular Data β‘
A terminal spreadsheet multitool for discovering and arranging data
Fast and Accurate ML in 3 Lines of Code
A unified framework for Deep Learning Models on tabular data
Synthetic data generation for tabular data
Conditional GAN for generating synthetic tabular data.
TabICLv2: An open tabular foundation model
A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.
A suite of utilities for converting to and working with CSV, the king of tabular file formats.
Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.
A Python library to extract tabular data from PDFs
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
SDG is a specialized framework designed to generate high-quality structured tabular data.
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
Display tabular data in a visually appealing ASCII table format
A common, beautiful interface to tabular data, no matter the format
A comprehensive toolkit and benchmark for tabular data learning, featuring 35+ deep methods, more than 10 classical methods, and 300 diverse tabular datasets.
Data management framework for Python that provides functionality to describe, extract, validate, and transform tabular data
Tabular Deep Learning Library for PyTorch
Distributed version-control for geospatial and tabular data
A library to model multivariate data using copulas.
Early access to new features for Microsoft Fabric's Semantic Link.
A pretrained tabular foundation model for classification and regression by Nums AI Inc.
EXAONE Tabular is a transformer-based foundation model for tabular data that solves classification and regression through in-context learning
Revisiting Tabular Deep Regression Paper Code