jNO library released for unified neural operator and foundation model training

A new JAX-native library called jNO has been released, designed to streamline the training of neural operators and foundation models. It offers unified support for both data-driven and physics-informed training methodologies. The library's key feature is a tracing system that allows users to define domains, model calls, and losses in a single symbolic language, compiling them into a unified optimization pipeline for seamless transitions between different training paradigms. AI

影响 Simplifies the development and training of complex neural operators and foundation models by unifying different training approaches.

排序理由 Release of a new open-source library for AI model training. [lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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