OpenTabular is an open research and development organization focused on Tabular Data — combining the strengths of Tabular Deep Learning, Tabular Machine Learning, and Statistical Modeling.

We aim to build high-quality, accessible tools and libraries for working with structured data — from interpretable classical models to state-of-the-art neural methods.

We host a growing collection of repositories, including:

• 🧠 Deep learning models tailored for tabular data
• 🤖 Machine learning pipelines and baselines for structured datasets
• 📈 Statistical and probabilistic tools grounded in tabular modeling
• 🧪 Experimental hybrids bridging DL, ML, and statistics
• 🛠️ Utilities for preprocessing, evaluation, visualization, and benchmarking

If you're working with tabular data — whether as a researcher, engineer, or enthusiast — you're in the right place.
Follow the organization and explore our repositories as we grow the open ecosystem for tabular understanding.