Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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BigQuery automates data prep, analysis, and predictions with built-in AI assistance.
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This is a library for accessing Windows Management Instrumentation (WMI) Classes easily without or with little knowledge on WMI. It consists of more than 300+ classes and collections.
The wrapper consists of 3 libraries:
* WBEMHW.DLL for accessing hardware.
* WBEMSYS.DLL for accessing OS.
* WBEMSW.DLL for installed windows components and performance counter.
NOTE: Visual Basic 6.0 runtime must be installed
DISCLAIMER: Visual Basic 6.0 and Windows is a trademark of Microsoft Corporation.
Cascade and Sharing Survival Trees, an ensemble for survival analysis
Cascading and Sharing Survival Trees (CSST) is a tree-based enseble that allows to efficiently analize survival data. It is a strightforward extension of the CS4 method for lifetime collections of data.
The CSST software comes along with its companion the CSST Prediction tool, to use the ensemble prediction in everyday life.
Please, refer to the user's manual for further information.
The Standard Portable Library (SPL) is a smart pointer based cross platform framework. SPL is an STL replacemnt and has an API similiar to .net and java. Features include Dates, pointer debugging, collections, IO, network, data, threading, and XML.
The CoreLibrary is a multiplatform object library for C++ (Linux, Win32, MacOSX, PocketPC).
It provides many of the common objects found in Java (Strings, Threads, Collections, etc.) and has the ability to send objects across the network like CORBA.
AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.