How can I integrate my own machine learning libraries and frameworks with a platform?

Sep 6, 2023 ... In this paper, we provide an overview of the guiding principles, technology architecture, and integration of various tools within Walmart and from the open- ... Jul 14, 2022 ... In this blog post, we're going to share our initial design considerations for the platform we built, present the API data scientists use to interact with it, ... Feb 16, 2022 ... We develop TorchDrug, a powerful and flexible machine learning platform for drug discovery built on top of PyTorch. Cloudera AI (formerly Cloudera Machine Learning) enables enterprise data science teams to collaborate across the full data lifecycle. Nov 9, 2023 ... NextGen Awarded SBIR Phase III to Advance Air Force Weather Machine Learning Platform Operations. Morgantown, WV (November 2023) – NextGen ... Azure Machine Learning studio is the top-level resource for Azure Machine Learning. This capability provides a centralized place for data scientists and ... Jun 18, 2024 ... FlavorMiner can be used for flavor mining in any food product, drawing from a diverse training dataset that spans over 934 distinct food products. Apr 11, 2024 ... In this article, we outline the state of no-code machine learning platforms and tools. This article documents our process, the metrics we used, and our ... Sep 16, 2024 ... Data Science & Machine Learning Platform ... UC San Diego's Data Science/Machine Learning Platform (DSMLP) provides undergraduate and graduate ... Machine learning is a branch of AI focused on building computer systems that learn from data. The breadth of ML techniques enables software applications to ...