pytorch-tabular/pytorch_tabular
A unified framework for Deep Learning Models on tabular data
This project helps data scientists and machine learning engineers build powerful deep learning models for structured, table-like datasets. You provide your tabular data, and it outputs a trained deep learning model capable of making predictions or classifications. It's designed for professionals who need to develop high-performing models on business data efficiently.
1,640 stars. Used by 1 other package. Available on PyPI.
Use this if you need to apply advanced deep learning techniques to your tabular datasets for tasks like predicting customer churn, forecasting sales, or classifying transactions, and want a streamlined way to experiment with different model architectures.
Not ideal if your primary need is for traditional machine learning models like Gradient Boosting or if your data is primarily unstructured like images or text.
Stars
1,640
Forks
173
Language
Python
License
MIT
Category
Last pushed
Mar 10, 2026
Commits (30d)
0
Dependencies
11
Reverse dependents
1
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