Distributed-training Libraries

HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments. HandyRL focuses on a practicable algorithm and …

GeoMX is a MXNet-based two-layer parameter server framework, aiming at integrating data knowledge that owned by multiple independent parties in a privacy-preserving way (i.e. no need to transfer raw …