DataRobot launched the first set of no-code AI tools in 2014. Since then, the platform has expanded at the fast pace of the applied machine learning industry.

A list of resources for source code analysis application using Machine Learning techniques (eg, Deep Learning, PCA, SVM, Bayesian, proabilistic models, reinformcement learning techniques etc) Please ...

Machine Learning for Source Code Vulnerability Detection: What Works and What Isn’t There Yet Abstract: We review machine learning approaches for detecting (and correcting) vulnerabilities in source ...

This article looks at 13 open source projects that are remaking the world of AI and machine learning. Some are elaborate software packages that support new algorithms. Others are more subtly ...

PyCaret is an open-source, low-code machine learning library in Python that automates machine learning workflows. It is an end-to-end machine learning and model management tool that speeds up the ...

The free app aims to make machine learning easier for people to use and helps them train models without writing code. Skip to main content. Microsoft. Source. Source. Source ... which is available for ...

Microsoft dev teams for Azure Machine Learning (Azure ML) and Visual Studio Code have improved the developer experience in the super-popular, open source-based, cross-platform code editor. An update ...

Find out how source code is compiled for different programming languages and computer ... data management, analytics, AI, and machine learning, contributing technology analyses, explainers, how ...

Google has opened up the source code of two machine learning (ML) on-device systems, MobileNetV3 and MobileNetEdgeTPU, to the open source community. In a blog post, software and silicon engineers ...