Abstract
Machine learning has transitioned from an individ-
ualistic approach to a collaborative one, enabling the collective effort to address increasingly complex challenges as they arise.
One challenge that emerges is the management of a collaborative
development process in machine learning projects. This paper
outlines a collaborative environment KEENsight that leverages
the benefits of a collaborative approach by orchestrating various open source tools. It establishes an optimal setting for code
collaboration, model generation, data sharing, and the utilization of computational resources not limited to a single location.
Through the integrating of these tools, KEENsight aims to
streamline the development process and enhance productivity
in machine learning.
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