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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.

The world’s leading tech companies open-source their projects on GitHub by releasing the code behind their popular algorithms. Technology is advancing rapidly, and computational costs are lower than ...

The proliferation of free open source software has made machine learning easier to implement both on single machines and at scale, and in most popular programming languages.

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.

Over the last 20 years, the OSI has been the guardian of open-source licenses, but now it will also address non-open-source licenses more and AI's role in software development.

The flexibility, agility and ultimate cost of machine learning projects can be significantly impacted by data logistics and dependencies, according to Jim Scott, VP, Enterprise Architecture, at MapR.

So when I performed the first part of our no-code/low-code machine learning experiment and got better than a 90 percent accuracy rate on a model, I suspected I had done something wrong.