Fast and Accurate ML in 3 Lines of Code

A terminal spreadsheet multitool for discovering and arranging data

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

⚡ TabPFN: Foundation Model for Tabular Data ⚡

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

Automatic architecture search and hyperparameter optimization for PyTorch

SDG is a specialized framework designed to generate high-quality structured tabular data.

AI code-writing assistant that understands data content

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains

A standard framework for modelling Deep Learning Models for tabular data

What's in your data? Extract schema, statistics and entities from datasets

Conditional GAN for generating synthetic tabular data.

A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.

Research on Tabular Deep Learning: Papers & Packages

Implementation of TabTransformer, attention network for tabular data, in Pytorch

A common, beautiful interface to tabular data, no matter the format

A comprehensive toolkit and benchmark for tabular data learning, featuring 30+ deep methods, more than 10 classical methods, and 300 diverse tabular datasets.

DeepTables: Deep-learning Toolkit for Tabular data