AI-sandbox/iLTM
iLTM: Integrated Large Tabular Model
This project helps data scientists and machine learning engineers build powerful predictive models for classification and regression tasks using tabular data. You provide your structured datasets, and it outputs highly accurate predictions, automatically handling common data preparation steps like scaling and missing values. It's designed for those who work with spreadsheets, databases, or CSV files and need top-tier predictive performance.
Used by 1 other package. Available on PyPI.
Use this if you need to achieve state-of-the-art predictive accuracy on tabular datasets for tasks like forecasting sales, predicting customer churn, or classifying medical conditions.
Not ideal if your primary goal is model interpretability over raw predictive power, or if you're working exclusively with unstructured data like images or text.
Stars
15
Forks
—
Language
Python
License
Apache-2.0
Category
Last pushed
Nov 21, 2025
Commits (30d)
0
Dependencies
8
Reverse dependents
1
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