minimaxir/automl-gs
An AutoML Python tool that takes a CSV and target field to automatically generate trained machine learning or deep learning models with native code outputs.
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automl-gs provides a zero-code interface for building optimized ML/DL models for tabular prediction tasks. Users supply a CSV file and specify a target column; the tool handles data preprocessing, model architecture selection, and hyperparameter search across TensorFlow/Keras and XGBoost frameworks. The output is a fully native Python pipeline script with no platform lock-in, allowing integration into any prediction workflow. It supports TPU training via Google Colaboratory for faster model exploration.
Frequently asked
- What is minimaxir/automl-gs?
- An AutoML Python tool that takes a CSV and target field to automatically generate trained machine learning or deep learning models with native code outputs.
- Is automl-gs open source?
- Yes — minimaxir/automl-gs is open source, released under the MIT license.
- What language is automl-gs written in?
- minimaxir/automl-gs is primarily written in Python.
- How popular is automl-gs?
- minimaxir/automl-gs has 1.9k stars on GitHub.
- Where can I find automl-gs?
- minimaxir/automl-gs is on GitHub at https://github.com/minimaxir/automl-gs.