Welcome to Fenn!
Hi everyone, I’d like to introduce you to fenn (Friendly Environment for Neural Networks), an emerging framework designed to automate machine learning and deep learning workflows.
Although the project is relatively new, it already has a growing community with ~40 stars, ~30 forks, and around 20 contributors. We actively welcome new contributors by maintaining many well-documented issues labeled good-first-issue and contributions-welcome, along with an active Discord community where newcomers can ask questions and get support.
The ecosystem includes multiple repositories: the main Python library, a template repository with ready-to-use ML/DL project templates, and a dashboard template (currently in development) that will allow users to explore experiment results using modern web technologies. This variety helps contributors with different backgrounds—machine learning, Python, or web development—find a suitable place to contribute.
Fenn has also been included in the good-first-issue and awesome-data-analysis lists.
If you'd like to learn more about Fenn, visit our page and consider leaving a ⭐ to help the project grow.
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