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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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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.
Python for .NET is a package that gives Python programmers nearly seamless integration with the .NET Common Language Runtime (CLR) and provides a powerful application scripting tool for .NET developers.
...Use fast timestamp comparisons on large files when hashing is too slow, and hashing on small files. When hashing is used, it's stored in either a text file or sqlite database (in-memory at runtime is optional). Files can be forced as stale or uptodate. Dagger can be used as a building block for a larger serial or parallel build system.
Framework for making Windows applications that are one .exe file in AutoHotKey_L,C++,C#, VB.NET,Java,Groovy,Common Lisp,Nemerle,Ruby,Python,PHP,Lua,Tcl,Perl,Jint,S#,WSH VBScript,HTML/JavaScript/CSS,COM, PowerShell without compiling . For .NET 4.
Yann is Yet Another Neural Network. Yann is a library to create fast neural networks. It is also a GUI to easily create, edit, train, execute and investigate networks. Multiple topologies, runtime properties and ensemble learning are supported.
gnu4u provides defined set of (GNU-)tools for development C and C++ applications. This tool set is independent of the OS's patch level, is available for different systems and provides the same development and runtime environment for those systems.
nVidia CUDA and MPI python wrappers. These wrappers are written in pure C no swig or boost necessary. The CUDA wrapper exposes the CUDA runtime and Driver API's.
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NGmp is a C# C++ Java Python VB.NET etc. etc. binding of GMP and MPFR multi-precision number libraries. With support of Microsoft .NET or Novell Mono runtime NGmp will run on mutliple platforms. It is faster than other libraries available on .NET or Mono
yuik is an abstract widget library for creating GUIs. The actual frontend can be chosen at runtime which allows the program to run under Tk, as a shell program, and even as a web-application. More frontends like an irc-bot, wxWidgets, or XUL are planned.
A Python runtime that can run scripts without the need for Python to be installed. With the inclusion of wxPython and SPE editor it is a portable (movable) development environment. Also useful for testing scripts with several different python versions.
Matlab/Octave to Python conversion facility. The tool will take existing scripts
and convert them to Python. Also includes Python bindings to Octave and
a small runtime support library. Built on top of Numeric Python extensions.
This is a tiny educational library : smalltalk like objects, quick memory allocator, network marshall/unmarshall, dynamic module, debug, quick and dirty two-way link between our objects and mozilla javascript or python objects, ... and highly portable !
mySAL -- A simple single assignment language
Single assignment languages are a kind of "functional" language
where the parallelism is easy to discover. mySAL is a relative
of SISAL, and old and distinguished SAL. The provided compiler
and runtime
The Snake Skin Bean Breaker converts Python syntax into readable Java syntax. With a high potential of runtime or compile-time deviances, the resultant code is assumed to be broken.. Works well for porting Jython Swing prototypes.
GLC generates python code with gtk bindings from Glade produced input files. This is a compile time approach to do the same thing as James Henstridge's runtime approach (libglade).
...The distributions are built with a focus on portability, enabling them to run consistently across operating systems without requiring additional dependencies. The project supports multiple architectures and includes a wide range of Python versions, giving developers flexibility in choosing the appropriate runtime for their needs. It is particularly useful for tools, applications, and environments that need to bundle Python as part of their distribution, such as standalone executables or embedded systems.