GitHub - ray-project/ray: Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI libraries for simplifying ML compute: Learn more about Ray AI Libraries: Data: Scalable Datasets for ML Train: Distributed Training Tune: Scalable Hyperparameter Tuning RLlib: Scalable Reinforcement Learning Serve: Scalable and Programmable Serving Or more about Ray Core an

[Aobei]

成田さんの記事にあったThe AI Economist: Taxation policy design via two-level deep multiagent reinforcement learningから知ったもの

[el7]

MLモデルの学習やサービングができるpythonフレームワーク

[prototechno]

#GDMeetup

[fcicq]

see also rlib (inside the project) http://bair.berkeley.edu/blog/2018/01/09/ray/