Abstract:

Hydra is an open-source Python framework developed at FAIR that aims to reduce the amount of boilerplate code in research and other complex applications.

The key feature is the ability to dynamically create a hierarchical configuration by composition and override it through config files and the command line.

The name Hydra comes from its ability to run multiple similar jobs – much like a Hydra with multiple heads.

Website: https://hydra.cc

Bio:

Omry Yadan is a research engineer at Facebook AI Research.

Omry has been an early employee in multiple startups, including Telmap, Vollee and Face.com where he worked in various domains including mapping and navigation, real time video game streaming to mobile, face recognition and robotics.

At Face.com, Omry built a face recognition system that led to the company getting acquired by Facebook in 2012 – where he continued improving and scaling up that system until 2018.

In 2013, Omry was is one of the founding members of Facebook AI research.

In 2018, Omry helped with the creation of a new robotics lab at Facebook HQ at Menlo park – focusing on machine learning for robotics – and have been a member of that lab since.

To address some of the difficulties writing complex robotics research software, Omry created Hydra (https://hydra.cc), an open source project that is gaining traction inside Facebook AI research and in external research communities.