Abstract: Waterline extraction from synthetic aperture radar (SAR) images can be transformed into a sea-land segmentation task. However, two aspects of deep learning sea-land segmentation have been ...
Abstract: This paper proposes a parallel framework for the Finite-Difference Time-Domain (FDTD) method on heterogeneous supercomputing platforms. The main content covers MPI parallelism, heterogeneous ...
verl is a flexible, efficient and production-ready RL training library for large language models (LLMs). verl is the open-source version of HybridFlow: A Flexible and Efficient RLHF Framework paper.
The vision for RPX Framework is to provide those making RedM servers with a new level of ease and flexibility when it comes to creating custom gameplay experiences. It has been designed to act as a ...
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