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Host LLMs in Production With On-Demand GPUs
NVIDIA L4 GPUs. 5-second cold starts. Scale to zero when idle.
Deploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
A file format for exchanging computational models in systems biology
The Systems Biology Markup Language (SBML) is an XML-based description language for representing computational models in systems biology. Visit the project web site to learn more.
The Accelerator Markup Language (AML) / Universal Accelerator Parser (UAP) project will develop an XML based format for describing high energy particle accelerators along with associated software to convert lattice files to a standard internal struct
EXMARaLDA stands for "Extensible Markup Language for Discourse Annotation". It's a system of concepts, data formats and tools for the computer assisted transcription and annotation of spoken language, and the analysis of spoken language corpora. This project's source code has moved to https://github.com/Exmaralda-Org/exmaralda
The development and curation of a range of XML-based tools
for using Chemical Markup Language (CML), including
XSD XML Schemas for validation, datatyping and constraining CML
documents and XSLT Stylesheets for transforming, filtering and rendering.
Annotated Gel Markup Language is a simple markup language that is being proposed to markup data obtained by 2D gel electrophorosis.The goal of AGML is to enable proteomics research move into the browsing mode of searching through existing databases.
LearnML is a XML based markup language to put learning materials in the web.
Based on a simple syntax, LearnML documents can be transformed to any kind of web page (HTML, XHTML) or (printable) PDF document.