What are the different open-source components and frameworks used by a machine learning platform?

The home for Arm NN and Compute Library – open-source software libraries that optimise the execution of machine learning (ML) workloads on Arm-based processors. In this paper, we propose an autonomic machine learning platform which provides the decision factors to be made during the developing of machine learning ... Deep learning frameworks offer building blocks for designing, training and validating deep neural networks, through a high level programming interface. Every ... Cybersource's machine learning generates highly accurate risk scores using in real-time to automate fraud detection and identify good customers. May 3, 2021 ... The REDIAL-2020 platform provides a fast and reliable way to screen novel compounds for anti-SARS-CoV-2 activities. REDIAL-2020 is available on ... Feb 16, 2022 ... We develop TorchDrug, a powerful and flexible machine learning platform for drug discovery built on top of PyTorch. An open source and cross-platform machine learning framework. Get started. Supported on Linux, Windows, and macOS. Built for .NET developers. Sep 5, 2017 ... Michelangelo enables internal teams to seamlessly build, deploy, and operate machine learning solutions at Uber's scale. It is designed to cover ... Feb 29, 2024 ... ML Platform Engineer is the person that helps run the ML platform that both the Data Scientist and ML Engineer use to do their jobs. 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 ...