Preview 7 Open Source Projects from the Uber Open Summit

Preview 7 Open Source Projects from the Uber Open Summit

  • October 25, 2018
Table of Contents

Preview 7 Open Source Projects from the Uber Open Summit

Open source software pervades the work we do at Uber. On the infrastructure side, we have contributed projects like Jaeger, which lets engineers trace complex architectures, and M3, a metrics platform that works with Prometheus. For front-end development, we built RIBs, a cross-platform architecture for mobile apps, along with Fusion.js, a plugin-based web framework.

In the rapidly advancing area of machine learning, we have open source tools such as Horovod, a distributed training framework, and Pyro, a deep probabilistic programming language written in Python.

Source: uber.com

Share :
comments powered by Disqus

Related Posts

The What-If Tool: Code-Free Probing of Machine Learning Models

The What-If Tool: Code-Free Probing of Machine Learning Models

How would changes to a datapoint affect my model’s prediction? Does it perform differently for various groups–for example, historically marginalized people? How diverse is the dataset I am testing my model on?

Read More
California Law Bans Bots From Pretending to Be Human

California Law Bans Bots From Pretending to Be Human

Are you talking to a real person online or a bot? In California, bots will need to identify themselves thanks to a new bill just signed into law by Gov. Jerry Brown. The measure bans automated accounts from pretending to be real people in order to ‘incentivize a purchase or sale of goods or services in a commercial transaction or to influence a vote in an election,’ effective July 1, 2019.

Read More