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.
📦 What to Expect
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
🤝 Get Involved
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.
DeepTab 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 Mamb…
PreTab is a modular, scikit-learn-compatible representation and preprocessing library for tabular data. Its focus is feature representation and expansion: splines, neural basis maps, piecewise-line…
PreTab is a modular, scikit-learn-compatible representation and preprocessing library for tabular data. Its focus is feature representation and expansion: splines, neural basis maps, piecewise-linear encoding, kernel approximations, and language embeddings, each shipped as a standalone transformer that speaks the standard fit / transform.
DeepTab 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.
This organization has no public members. You must be a member to see who’s a part of this organization.
Top languages
Loading…
Uh oh!
There was an error while loading. Please reload this page.
Most used topics
Loading…
Uh oh!
There was an error while loading. Please reload this page.
You are visitor 01402503 — GeezerVison does not store the pages you look up. Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required.