tensorflow/skflow
A scikit-learn-style simplified interface wrapper for TensorFlow to build and train deep learning models.
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SkFlow provided a high-level API that mimicked scikit-learn conventions for TensorFlow, allowing developers to build and train deep learning models using familiar fit/predict patterns. It was an early attempt to simplify TensorFlow’s lower-level operations for rapid prototyping. The project has been fully migrated into TensorFlow’s contrib folder and this standalone repository is now archived.
Frequently asked
- What is tensorflow/skflow?
- A scikit-learn-style simplified interface wrapper for TensorFlow to build and train deep learning models.
- Is skflow open source?
- Yes — tensorflow/skflow is open source, released under the Apache-2.0 license.
- What language is skflow written in?
- tensorflow/skflow is primarily written in Python.
- How popular is skflow?
- tensorflow/skflow has 3.2k stars on GitHub.
- Where can I find skflow?
- tensorflow/skflow is on GitHub at https://github.com/tensorflow/skflow.