The open source ethos and collaboration tools make it easier for teams to share code and data ... at 13 open source projects that are remaking the world of AI and machine learning.

And while I know my way around a Jupyter notebook and have written a good amount of Python code, I do not profess ... a true picture of how machine learning projects usually happen.

The proliferation of free open source ... machine learning applications that can be scaled quickly and efficiently to meet demand. Mahout works mainly with another well-known Apache project ...

Uber Horovord is available on Github as an open source project. Ludwig - Code-Free Deep Learning Toolbox Ludwig is the most interesting machine learning project from Uber. It is an open source ...

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 ...

In 2017, Google started an open source project called Kubeflow that aims to bring distributed machine learning to Kubernetes. Kubeflow combines the best of TensorFlow and Kubernetes to enable ...

Facebook's PyTorch framework, an open-source machine-learning library that is often used for computer vision applications, soon emerged as the technology of choice. "We identified PyTorch as the ...

saved up to 20 hours with thanks to open source, while more than one in 10 saved over 30 hours. Only 11% of developers said that they had never abandoned a machine learning project, highlighting ...