pytabular-ai/auto-scikit-dl
An automatic deep tabular learning package
This project helps machine learning practitioners quickly build, test, and compare advanced deep learning models for tabular data. You provide a dataset with rows and columns (like a spreadsheet), and it gives you a high-performing predictive model, along with tools for automatic feature engineering and model selection. It's designed for data scientists and ML engineers working on prediction tasks.
No commits in the last 6 months.
Use this if you need to rapidly experiment with and benchmark cutting-edge deep learning models on structured, table-like datasets without extensive manual coding.
Not ideal if your data is unstructured (like images or text) or if you are not comfortable with machine learning concepts and development workflows.
Stars
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Language
Python
License
MIT
Category
Last pushed
Oct 30, 2023
Commits (30d)
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