Kangas is an open-source device supplied by Comet, supplier of an MLOps platform for machine studying groups.
In accordance with Comet, the device is meant to assist groups discover, analyze, and visualize large-scale multimedia knowledge.
Kangas affords customers a Python API for logging giant tables of information in addition to a visible interface for performing difficult queries in opposition to the customers dataset.
“A key element of data-centric Machine Studying is with the ability to perceive how your coaching knowledge impacts mannequin outcomes and the place your mannequin predictions are fallacious,” stated Gideon Mendels, CEO and co-founder of Comet. “Kangas accomplishes each of those objectives and dramatically improves the expertise for ML practitioners.”
With Kangas, prospects achieve a number of advantages reminiscent of scalability with Kangas DataGrid, the category for representing datasets and the flexibility to shortly group, kind, and filter throughout a number of knowledge factors with a easy UI.
Moreover, this open-source device brings customers interoperability by enabling operating in a pocket book or as a standalone app, each regionally and remotely.
Lastly, this providing brings customers built-in laptop imaginative and prescient assist to allow them to visualize and filter bounding containers, labels, and metadata with none further setup.
For a dwell demo of Kangas, click on right here.
