Ludwig is an open-source, no-code machine learning toolbox written in Python. It allows users to train and test models without writing extensive code, supporting multiple data types such as text, images, audio, and sequences. Ludwig automates data preprocessing, model building, and evaluation, and can leverage GPU acceleration through TensorFlow for faster training and inference. It is widely used for AI, machine learning, and data analytics tasks.

Features of Ludwig:

• No-code approach for building and training machine learning models.
• Supports multiple data types and modalities, including text, images, audio, and sequences.
• Automated data preprocessing, model generation, and evaluation pipelines.
• GPU acceleration via TensorFlow for faster training and inference.
• Flexible and extensible, allowing custom encoders, decoders, and training configurations.
• Open-source and actively maintained, widely used in research and practical applications.

To check the installed version of Ludwig, run these commands in your environment:

$ source ~/ludwig-venv/bin/activate
$ ludwig --version

Disclaimer: Ludwig is released under the Apache License 2.0 and maintained by the Ludwig community. Users are responsible for ensuring correct usage in their specific applications. The developers do not take responsibility for any consequences arising from its use. Always refer to the official documentation for the most accurate and up-to-date information.