GabrielMissael/streamlit_workshop

Repositorio para taller de Streamlit impartido durante Tigre Hacks 2023 - Monterrey

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This workshop teaches Python developers how to transform their machine learning models from Jupyter notebooks into interactive web applications. Developers will learn to use Streamlit to build web interfaces for sentiment classification, object detection, and digit recognition models, making their work accessible and shareable without needing full web development expertise. It's for anyone who wants to quickly showcase their ML projects.

No commits in the last 6 months.

Use this if you are a Python developer with existing machine learning models and want to quickly create interactive web demos or minimum viable products.

Not ideal if you are looking to learn the inner workings of machine learning models or build complex, production-ready web applications with custom front-ends.

Machine Learning Demos Rapid Prototyping Data Science Tools ML Model Deployment Interactive Applications
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 0 / 25

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Language

Jupyter Notebook

License

MIT

Last pushed

May 22, 2023

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