Kaixhin/FGLab

Future Gadget Laboratory

45
/ 100
Emerging

This dashboard helps machine learning researchers and practitioners manage and track their experiments. You define your project's hyperparameters and FGLab manages sending these options to your machine learning program, collects the outputs (like performance metrics and logs), and stores them in a database for later analysis. It's designed for anyone actively engaged in developing and testing machine learning models.

222 stars. No commits in the last 6 months.

Use this if you are running multiple machine learning experiments and need a centralized way to define experiment parameters, monitor progress, and store results for comparison and analysis.

Not ideal if you need a solution for managing data pipelines or deploying models into production, as this tool focuses on the experimentation phase.

machine-learning hyperparameter-tuning experiment-tracking model-development research-workflow
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 19 / 25

How are scores calculated?

Stars

222

Forks

34

Language

HTML

License

MIT

Last pushed

Mar 03, 2018

Commits (30d)

0

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