Musket ML

ML framework enabling to make fast and simply-declared experiments, which can be easily stored, reproduced and compared to each other

Compact and declarative

Declarative description is always more compact and human-readable than imperative description.

Reproducible and easy to share

As each experiment is simply a folder with YAML file inside, it is easy to share and run experiment.

Easy to compare experiments

Want to compare two experiments? Launch any text comparator! Want to compare results? Launch our analyzer.

There is also an IDE ...

It makes declaring and running experiments easier, and provides lots of visual data analyzers.

Completion and validation

Completion and validation make it easier to learn and code.

Data visualizers

As each experiment is simply a folder with YAML file inside, it is easy to share and run experiment.

Dataset imports and code generation

Have images, CSV, Kaggle dataset? We've got wizards to import, wizards to generate an experiment and wizards to export.

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Contact

Please let us know what you think using this form, or email us to musket-ml@onpositive.com

Thank you!