优步 Engineering Releases 霍罗沃德 v0.21: New Features Include Local Gradient Aggregation For TensorFlow v1 and v2
Horovod announces its v0.21 and brings many powerful new features to the 霍罗沃德 community, making training deep learning models faster and easier than ever before. Horovod was open-sourced in 2017, and it has grown to become the standard solution for scaling deep learning training to hundreds of GPUs. 霍罗沃德 can reduce training times from days...
摩奈: An Open-Source Imaging Framework To Accelerate AI in Healthcare, Ready For Production Using 英伟达 Clara Application Framework
MONAI (the Medical Open Network for AI) is a PyTorch-based framework that contributes to AI development for healthcare issues. It is looking to address medical imaging issues with industry-specific data handling, high-performance training workflows, and reproducible reference implementations of state-of-the-art approaches. 摩奈 is ready for production as of April 2020, with the NVIDIA Clara 应用框架's upcoming release.