Search Results for "kernel-br"
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Showing 2837 open source projects for "kernel-br"
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Linux Kernel
Linux Kernel source tree
The Linux Kernel is the core component of the Linux operating system—a free, open-source, monolithic, Unix-like system kernel initiated by Linus Torvalds in 1991 and since evolved into a foundational technology powering everything from servers and supercomputers to smartphones and embedded devices. There are various text files in the Documentation/ subdirectory, several of them using the reStructuredText markup notation. -
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Zen Kernel
Zen Patched Kernel Sources
Zen Patched Kernel Sources. This is the top level of the kernel’s documentation tree. Kernel documentation, like the kernel itself, is very much a work in progress; that is especially true as we work to integrate our many scattered documents into a coherent whole. ARC processors are highly configurable and several configurable options are supported in Linux. -
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Semantic Kernel
Integrate cutting-edge LLM technology quickly and easily into your app
Semantic Kernel is an open-source SDK that lets you easily combine AI services like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C# and Python. By doing so, you can create AI apps that combine the best of both worlds. To help developers build their own Copilot experiences on top of AI plugins, we have released Semantic Kernel, a lightweight open-source SDK that allows you to orchestrate AI plugins. -
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Liger Kernel
Efficient Triton Kernels for LLM Training
Liger Kernel is a unified kernel developed by LinkedIn to streamline data science and machine learning workflows across different languages and tools. It provides a consistent interface for running code in various languages (such as Python, R, SQL) within a single Jupyter-like environment, enhancing productivity and collaboration for data scientists working in mixed-language projects. -
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Hermit Kernel
A Rust-based, lightweight unikernel
Hermit Kernel is designed to reduce latency and overhead by avoiding traditional OS abstractions, while still providing essential services such as scheduling, memory management, and networking. It bridges the gap between performance-critical applications and the simplicity of unikernel deployment. -
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WSL2-Linux-Kernel
The source for the Linux kernel used in Windows Subsystem for Linux 2
The WSL2-Linux-Kernel repo contains the kernel source code and configuration files for the WSL2 kernel. If you discover an issue relating to WSL or the WSL2 kernel, please report it on the WSL GitHub project. It is not possible to report issues on the WSL2-Linux-Kernel project. Instructions for building an x86_64 WSL2 kernel with an Ubuntu distribution are provided. -
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IPython Kernel for Jupyter
IPython Kernel for Jupyter
This package provides the IPython kernel for Jupyter. IPython provides a rich toolkit to help you make the most of using Python interactively. -
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O nome Br OS tem dois significados, Br vem de Brasil, o país de origem do sistema, OS é Operating System, e a junção do nome fica Bros, que é uma gíria norte americana para Brothers, que significa Irmãos. Basicamente o que queremos dizer é que nosso sistema foi feito para unir pessoas, seja pelo conteúdo gerado por ele, ou pela comunidade que ele forma.
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NVIDIA Linux Open GPU Kernel Module
NVIDIA Linux open GPU kernel module source
This is the source release of the NVIDIA Linux open GPU kernel modules, version 530.41.03. Note that the kernel modules built here must be used with GSP firmware and user-space NVIDIA GPU driver components from a corresponding 530.41.03 driver release. Currently, the kernel modules can be built for x86_64 or aarch64. If cross-compiling, set these variables on the make command line. Any reasonably modern version of GCC or Clang can be used to build the kernel modules. ... -
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LaTeX2e Kernel Code Repository
The LaTeX2e kernel
LaTeX is a high-quality typesetting system; it includes features designed for the production of technical and scientific documentation. LaTeX is the de facto standard for the communication and publication of scientific documents. LaTeX is available as free software. -
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WSL
Windows Subsystem for Linux
WSL is Microsoft's compatibility layer—now open source—that allows Linux binaries (CLI and GUI) to run natively on Windows without a VM. WSL 1 handles syscall translation; WSL 2 uses a lightweight VM with full Linux kernel, enabling full Linux compatibility, improved I/O, GPU acceleration, and support for distributions like Ubuntu, Debian, Kali, etc. -
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Lunatik
Lunatik is a framework for scripting the Linux kernel with Lua
Lunatik is a framework for scripting the Linux kernel with Lua. It is composed by the Lua interpreter modified to run in the kernel; a device driver (written in Lua =)) and a command line tool to load and run scripts and manage runtime environments from the user space; a C API to load and run scripts and manage runtime environments from the kernel; and Lua APIs for binding kernel facilities to Lua scripts. -
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Megacubo
An intuitive, multi-language and cross-platform IPTV player
Megacubo is an intuitive, multi-language and cross-platform IPTV player with support for history, bookmarks and much more. You can add as many IPTV lists you want (M3U format) and record live broadcasts to your PC or device. With Miniplayer mode, you can work or navigate on your PC while watching any broadcast. -
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pwru
eBPF-based Linux kernel networking debugger
pwru is an eBPF-based tool for tracing network packets in the Linux kernel with advanced filtering capabilities. It allows fine-grained introspection of kernel state to facilitate debugging network connectivity issues. -
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CoolPotOS
CoolPotOS for ia32 / amd64
CoolPotOS is a small, hobbyist operating system designed to be minimal and educational, offering the most basic kernel capabilities while remaining accessible to beginners. Written in C and Assembly, it focuses on bootstrapping, kernel entry, and simple console output. Though in early stages, CoolPotOS showcases the boot process, memory segmentation, and essential CPU features, serving as a great learning resource for those new to operating system internals. -
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KMON
Linux Kernel Manager and Activity Monitor
The kernel is the part of the operating system that facilitates interactions between hardware and software components. On most systems, it is loaded on startup after the bootloader and handles I/O requests as well as peripherals like keyboards, monitors, network adapters, and speakers. The Linux kernel is the open-source, monolithic, and, Unix-like operating system kernel that is used in the Linux distributions, various embedded systems such as routers, and as well as in all Android-based systems. ... -
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XanMod is a general-purpose Linux kernel distribution with custom settings and new features. Built to provide a stable, smooth and solid system experience. https://gitlab.com/xanmod/linux https://xanmod.org
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LKMPG
The Linux Kernel Module Programming Guide
lkmpg is a modernized, open-source guide that teaches the fundamentals of writing Linux kernel modules through clear explanations and working examples. It covers the full lifecycle: building and loading modules, understanding kernel symbols, handling device files, and interacting with kernel subsystems. Readers learn about concurrency concerns (spinlocks, mutexes), memory allocation in kernel space, and safe patterns for error handling and cleanup. -
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Glow OS
System Analysis Software
Glow is an educational, hobbyist operating system written in C and Assembly, developed to help learners understand the internals of OS design and kernel development. Targeting x86_64 systems, Glow features its own kernel, bootloader, and minimal userland. With clear code structure and a simple design, it serves as a playground for experimenting with low-level systems programming, boot sequences, interrupt handling, and basic UI components like shells and text rendering. -
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SerenityOS
The Serenity Operating System
SerenityOS is an open source Unix-like operating system project with its own custom kernel, graphical user interface, system libraries, and userland tools. It combines a nostalgic “90s UI aesthetic” with modern system capabilities: a preemptive, multi-threaded kernel, own browsers, network stack, file systems, IPC, security features, and a suite of graphical / developer applications. The project is both a hobbyist OS and a polished engineering sandbox. -
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Linux Surface
Linux Kernel for Surface Devices
...This is mostly because some hardware choices Microsoft made are rarely (if at all) used by other, more "standard", devices. We aim to send all the changes we make here upstream, but this may take time. This kernel allows us to ship new features faster, as we do not have to adhere to the upstream release schedule (and, for better or worse, code standards). We also rely on it to test and prototype patches before sending them upstream, which is crucial because we maintainers cannot test on all Surface devices (which also means we may break things along the way). -
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JupyterLab
JupyterLab computational environment
...JupyterLab also offers a unified model for viewing and handling data formats. JupyterLab understands many file formats (images, CSV, JSON, Markdown, PDF, Vega, Vega-Lite, etc.) and can also display rich kernel output in these formats. See File and Output Formats for more information. To navigate the user interface, JupyterLab offers customizable keyboard shortcuts and the ability to use key maps from vim, emacs, and Sublime Text in the text editor. -
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WANIX
A virtual environment kit for the local-first web
wanix is a hobbyist Unix-like operating system written from scratch in C, aiming to implement core features of a traditional OS in an educational and modular way. The project walks through kernel development starting from bootloading, memory management, system calls, and eventually to user programs. With support for x86_64 and simple tools like a shell and basic file I/O, wanix serves as both a learning platform and a launching point for more advanced kernel features. -
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FlashInfer
FlashInfer: Kernel Library for LLM Serving
FlashInfer is a kernel library designed to enhance the serving of Large Language Models (LLMs) by optimizing inference performance. It provides a high-performance framework that integrates seamlessly with existing systems, aiming to reduce latency and improve efficiency in LLM deployments. FlashInfer supports various hardware architectures and is built to scale with the demands of production environments.
