The Open Source ML Advantage


Open source technology has historically driven technological progress, from operating systems, to web development, and now, AI and machine learning. We're at a point in history where the canonical "open source ML stack" has yet to be discovered. In this talk, you'll hear about HPE's approach to building an end-to-end ML stack, including Determined AI for model training and Pachyderm for data preparation. You'll also see a live demo of how to use Determined AI for a transfer learning use case in the biomedical image domain. We'll also touch on some key collaborations, including our partnerships with the AI Infrastructure Alliance, NVIDIA, and Aleph Alpha.


Isha Ghodgaonkar is a Machine Learning Developer Advocate at Hewlett Packard Enterprise (HPE), working within the HPC, AI & Labs business unit, which includes open source platforms Determined AI and Pachyderm. Prior to HPE, Isha worked at MITRE as an Autonomous Systems Engineer, a Data Science Intern at Genentech, and a technical intern at The Aerospace Corporation. Isha is a graduate of Purdue University.

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