Search Results for "data label"
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Showing 4 open source projects for "data label"
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Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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1
parca
Continuous profiling for analysis of CPU and memory usage
...Both producing pprof formatted profiles with the eBPF-based profiler and ingesting any pprof formatted profiles allowing for wide language adoption and interoperability with existing tooling. Efficiently storing profiling data while retaining raw data and allowing slicing and dicing of data through a label-based search. Aggregate profiling data infrastructure-wide, view single profiles in time or compare on any dimension. -
2
TRAK for Visio
Simple Visio stencil to help create TRAK architecture views
A Visio stencil that provides the elements and connectors from the TRAK metamodel for you to create TRAK architecture views with. With thanks to Nic Plum for the latest revision. TRAK is an ISO/IEC 42010:2011-compliant open-source architecture framework for enterprise architecture modelling / architecture description in all domains. TRAK is specified in three parts and is available at: * http://trak.sourceforge.net [overview] * http://trakmetamodels.sourceforge.net... -
3
gml4gtk
small console GML or graphviz DOT graph viewer
directed graph layout program for GML (Graph-Markup-Language) graph or partial graphviz DOT graph -
4
queXC
Web based system for cleaning and classifying open text fields
An Open Source, web based data cleaning and coding system. queXC takes a data file (such as questionnaire data) and cleans the text input fields by spacing and spell checking them. Operators then code text fields using new/existing coding schemes. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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