Search Results for "c kernel"
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Showing 13 open source projects for "c kernel"
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CuPy
A NumPy-compatible array library accelerated by CUDA
...CuPy is highly compatible with NumPy, serving as a drop-in replacement in most cases. CuPy is very easy to install through pip or through precompiled binary packages called wheels for recommended environments. It also makes writing a custom CUDA kernel very easy, requiring only a small code snippet of C++. -
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PyTorch Geometric
Geometric deep learning extension library for PyTorch
...We have outsourced a lot of functionality of PyTorch Geometric to other packages, which needs to be additionally installed. These packages come with their own CPU and GPU kernel implementations based on C++/CUDA extensions. We do not recommend installation as root user on your system python. Please setup an Anaconda/Miniconda environment or create a Docker image. We provide pip wheels for all major OS/PyTorch/CUDA combinations. -
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KaNaPi
Educational Linux Distribution
Main goals: * Prepare operating system based on Linux kernel and free software for use at home from scratch by building sources. Binary packages/images are also available. * Each package is installed in separate directory, so you can use different versions of applications and libraries by design. * There is only one user 'kanapi' with root permissions, so you don't have to login, remember passwords, etc. * Simple configuration * Automatic compilation. -
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MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. * More info + downloads: https://mlpack.org * Git repo: https://github.com/mlpack/mlpack
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m2cgen
Transform ML models into a native code
m2cgen (Model 2 Code Generator) - is a lightweight library that provides an easy way to transpile trained statistical models into a native code (Python, C, Java, Go, JavaScript, Visual Basic, C#, PowerShell, R, PHP, Dart, Haskell, Ruby, F#, Rust, Elixir). Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies. Some models force input data to be particular type during prediction phase... -
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BeaEngine 5
BeaEngine disasm project
...You can use it in C/C++ (usable and compilable with Visual Studio, GCC, MinGW, DigitalMars, BorlandC, WatcomC, SunForte, Pelles C, LCC), in assembler (usable with masm32 and masm64, nasm, fasm, GoAsm) in C#, in Python3, in Delphi, in PureBasic and in WinDev. You can use it in user mode and kernel mode. -
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virgo
32 bit VIRGO Linux Kernel
Linux kernel fork-off with cloud and machine learning features -
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The QBoxHD and derivatives are HD digital receivers made by Duolabs. This project provides the official software components that run in these Linux-based devices: boot-loader, kernel, drivers and applications.
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This project is intended to serve as a framework for developing plugin system with internal hierarchical storage of objects coming from plugins. Plugins contains objects and commands. All functionality of kernel and plugins are to be exported to Python.
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libmsgque
something that writes code for you
... > Philosophy: Write Once → Run Everywhere The package-item can be a thread, a separate local process that is started by fork or spawn, or even a network of multiple services on multiple hosts. The package-item can be written in any language that is supported by the Programming-Language-Micro-Kernel support. It even supports running multiple programming languages in a single piece of software. Supported Languages are: (C,C++,C#,VB.NET,Java,Python,Ruby,Perl,PHP,Tcl or GO) > Strategy: It takes 4 years to write a programming-language, but it only takes 4 weeks to insert a micro-kernel. The package-item is connected to one another via a pipe or a socket and is based on packets . -
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Can emulate old computer on text the code pogram ideal to create kernel for operating system The begin the project the can emulate CPU(8080)and z80.
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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 !
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This project has moved to: http://vger.kernel.org/vger-lists.html#linux-kbuild Here, you can find the old mailing list, files and website regarding: Linux kernel build. Patches, documentation, and auxilary programs related to the kernel configuration
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