Horizon: The first open source reinforcement learning platform for large-scale products and services
An end-to-end platform built on PyTorch 1.0 that is designed to jump start RL's transition from research papers to production Horizon is the first open source end-to-end platform that uses applied reinforcement learning (RL) to optimize systems in large-scale production environments. The workflows and algorithms included in this release were built on open frameworks — PyTorch 1.0, Caffe2, and Spar
Accelerate large-scale applications with BOLT
Highly complex services, such as those here at Facebook, have large source code bases in order to deliver a wide range of features and functionality. Even after the machine code for one of these services is compiled, it can range from 10s to 100s of megabytes in size, which is often too large to fit in any modern CPU instruction cache. As a result, the hardware spends a considerable amount of proc
Announcing Yarn 1.0
Today, we are excited to announce the 1.0 release of the Yarn JavaScript package manager, a major step for the project. In the 11 months since its initial release, Yarn has generated a large following. Currently, there are more than 175,000 projects on GitHub with a yarn.lock file in their root directory. In use by many large and small companies, and across the open source community, Yarn is now r
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