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 ...

rather than open source stacks, may be the primary method of bringing machine learning to non-technical users. In recent months, Google has pointed to two projects of its own—albeit entirely ...

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 ...

Redis Labs, the home of Redis, is introducing an open source project called Redis-ML, the Redis Module for Machine Learning. The new project will accelerate the delivery of real-time recommendations ...

Drupal became an open-source project in 2001 ... TensorFlow is a complete machine learning platform for preparing and loading data, building production-grade machine learning models, according ...

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 ...

Amazon is releasing the software as an open-source project to help machine learning grow beyond speech and language recognition that many companies are focusing on, instead expanding into areas ...

Or, as early OSI leader and currently Project Lead ... the roles that machine learning (ML) and Artificial Intelligence (AI) play in both using and building open-source software.

Google Cloud announced the launch of an open source machine learning compiler ecosystem, OpenXLA. OpenXLA is a community-led and open source ecosystem of ML compiler and infrastructure projects ...

which also leads the Opensense security platform project. OPNids is built on top of the open-source Suricata IDS, providing a new layer of machine learning-based intelligence to help improve ...