Search Results for "linux kernel" - Page 4
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Showing 184 open source projects for "linux kernel"
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cerberuscms2
Cerberus Content Management System
Cerberus Content Management System is a dynamic, secure and infinitely expandable CMS designed after a Unix-Like model. It is a custom written Web Application Framework ( W.A.F. ) with a consistent and custom written Pre-Hyper-Text-Post-Processor Programming Code Framework ( P.C.F. ). This Web Application Software Project' aim is to be the fastest and most secure Web Application Framework, Web Application Programming Code Framework, Text, Voice and Video Communications Platform and Content... -
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Neural Tangents
Fast and Easy Infinite Neural Networks in Python
Neural Tangents is a high-level neural network API for specifying complex, hierarchical models at both finite and infinite width, built in Python on top of JAX and XLA. It lets researchers define architectures from familiar building blocks—convolutions, pooling, residual connections, and nonlinearities—and obtain not only the finite network but also the corresponding Gaussian Process (GP) kernel of its infinite-width limit. With a single specification, you can compute NNGP and NTK kernels,... -
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inxi
inxi is a full featured CLI system information tool
Inxi is a powerful, full-featured command-line system information tool that aggregates hardware, software, and system metrics into a concise, human-readable format in terminal or IRC clients. Though development is archived, it remains available in many Linux/BSD repositories. Displays comprehensive system information including CPU, kernel version, uptime, memory, disk, processes, etc. Supports many command-line options (-A, -b, etc.) to customize output (audio, battery, network, etc.) Works in both console and IRC clients for remote system info sharing. Available in most Linux distribution repositories and supports BSDs. -
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LMAX Disruptor
High performance inter-thread messaging library
LMAX aims to be the fastest trading platform in the world. Clearly, in order to achieve this we needed to do something special to achieve very low-latency and high-throughput with our Java platform. Performance testing showed that using queues to pass data between stages of the system was introducing latency, so we focused on optimising this area. The Disruptor is the result of our research and testing. We found that cache misses at the CPU-level, and locks requiring kernel arbitration are... -
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barco
Linux containers from scratch in C
barco is a project I worked on to learn more about Linux containers and the Linux kernel, based on other guides on the internet. Linux containers are made up by a set of Linux kernel features. namespaces: are used to group kernel objects into different sets that can be accessed by specific process trees. There are different types of namespaces, for example,the PID namespace is used to isolate the process tree, while the network namespace is used to isolate the network stack. -
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Plymouth Themes
A huge collection (80+) of Plymouth themes ported from Android
A big collection of Plymouth themes, ported from Android bootanimation. Plymouth is a project from Fedora and now listed among the freedesktop.org's official resources providing a flicker-free graphical boot process. It relies on kernel mode setting (KMS) to set the native resolution of the display as early as possible, then provides an eye-candy splash screen leading all the way up to the login manager. -
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GPT-Code UI
An open source implementation of OpenAI's ChatGPT Code interpreter
An open source implementation of OpenAI's ChatGPT Code interpreter. Simply ask the OpenAI model to do something and it will generate & execute the code for you. You can put a .env in the working directory to load the OPENAI_API_KEY environment variable. For Azure OpenAI Services, there are also other configurable variables like deployment name. See .env.azure-example for more information. Note that model selection on the UI is currently not supported for Azure OpenAI Services. -
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linux-factory
Framework used to create custom debian linux operating systems
linux-factory is a utility designed to streamline the process of building and customizing Linux kernel images using a simple, scriptable environment. It provides a modular framework for configuring kernel options, applying patches, and generating bootable images, making it ideal for embedded developers, kernel hackers, and OS maintainers. -
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Cross Platform Node Guide
Improve front-end engineer workflow & standard, powered by TypeScript
A command-line tool aims to improve front-end engineer workflow and standards, powered by Node.js. Feflow (pronounced /ˈfefləʊ/) is a front-end flow and rule tool to improve engineering efficiency., and is hosted on Github: feflow. At present, it has been used in many applications, such as Now, Huayang Live, Huayang Friends, Mobile QQ Near Hand, Group Video, Group Gift, Huiyin, Tencent Myapp, Penguins and etc. With 80+ WEB/IOS/Andriod stable users, the cumulative production project reached... -
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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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WG UI
WireGuard Web UI for self-serve client configurations
A basic, self-contained management service for WireGuard with a self-serve web UI. The easiest way to run wg-ui is using the container image. Important to know is that you need to have WireGuard installed on the machine in order for this to work, as this is 'just' a UI to manage WireGuard configs. You can configure wg-ui using commandline flags or environment variables. If you however do not have the possibility or interest in having kernel module loaded on your host, there is now a solution... -
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Hydrogen
Run code interactively, inspect data, and plot
Hydrogen is an interactive coding environment that supports Python, R, JavaScript and other Jupyter kernels. Hydrogen was inspired by Bret Victor's ideas about the power of instantaneous feedback and the design of Light Table. Running code inline and in real-time is a more natural way to develop. By bringing the interactive style of Light Table to the rock-solid usability of Atom, Hydrogen makes it easy to write code the way you want to. You also may be interested in our latest project –... -
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Aurae
Distributed systems runtime daemon written in Rust
Aurae is on a mission to be the most loved and effective way of managing workloads on a node. Our hope is that by bringing a better set of controls to a node, we can unlock brilliant higher-order distributed systems in the future. Aurae deploys a memory-safe 1 runtime daemon, process manager, and PID-1 initialization system to remotely schedule processes, containers, and virtual machines as well as set node configurations (e.g., networking storage). Through system proportioning and... -
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mini-rv32ima
A tiny C header-only risc-v emulator.
...Its core implementation is only a few hundred lines and emulates the RV32IMA instruction set together with selected CSR, CLINT, and MMIO behavior. The emulator intentionally omits an MMU and other specification features that are unnecessary for its minimal Linux target. Despite its size, it can boot a no-MMU Linux environment and run user applications. A compact demonstration wrapper provides UART, kernel loading, device-tree loading, command-line interaction, and basic system control. The design is dependency-free at its core, easily embeddable, and deliberately structured so developers can extend instructions, registers, and device behavior. -
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xRxTx - Uart/Com
Rxtx/Uart GUI
RxtxConsole is an API and GUI software, developed by Doidx with JSerialCom as the kernel. It can be used for multi- UART/RS232 interface operation. The platform supports Windows/MAC/Linux. Note: Developed with Java17 Follow these steps step by step to apply RxtxConsole, 1. LIST, to obtain all Serial ports currently available on the system. 2. CONNECT, Select a Serial port for connection and place it in the connection pool for use 3. ... -
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DiDasm is a small and fast disassembler, useful for Windows kernel developers. Advantages: - highly portable, has minimal runtime requirements (C runtime); - core libraries do not require any external components; - includes instructions emulator (diana_processor); - has stream oriented design; Supported platforms: i386, amd64 Supported instructions: x586/amd64/FPU/MMX/SSE/SSE2
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GreenForce Official App
Simple Kernel Feature Manager
#Q&A Q: What is GreenForce ™ Official App? Is it a kind of kernel manager? A: GreenForce ™ Official App (Previously Disk Health Monitoring) is GreenForce Kernel Feature Manager with simpler function to activate the features instead of complicated profiling kernel manager. Q: Does GreenForce ™ Official App working on other kernel? A: Yes. with limited features. Q: Does GreenForce ™ Official App working on another devices? A: Yes. I am using Poco X3 Pro and it's working as it should.... -
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Periph
Peripherals I/O in Go
periph is a Go library that unifies hardware I/O on single-board computers and embedded Linux devices, exposing clean interfaces for GPIO, I²C, SPI, UART, PWM, and more. Its philosophy is “no daemon, no codegen”—you link a Go package and speak directly to the hardware via stable abstractions, keeping deployments simple and auditable. The project auto-detects host capabilities at runtime and selects the best driver backend, smoothing over kernel and board differences across Raspberry Pi, BeagleBone, and other platforms. ... -
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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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SPT-OpenLiS
STREAMS package for Linux kernel
OpenLiS STREAMS package for Linux kernel. Update from openlis project. -
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glommio
Thread-per-core crate that makes writing asynchronous apps easier
Glommio (pronounced glo-mee-jow or |glomjəʊ|) is a Cooperative Thread-per-Core crate for Rust & Linux based on io_uring. Like other Rust asynchronous crates, it allows one to write asynchronous code that takes advantage of Rust async/await, but unlike its counterparts, it doesn't use helper threads anywhere. -
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MACE
Deep learning inference framework optimized for mobile platforms
...Mechanism like automatically breaking OpenCL kernel into small units is introduced to allow better preemption for the UI rendering task. Graph level memory allocation optimization and buffer reuse are supported. The core library tries to keep minimum external dependencies to keep the library footprint small. -
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ork
Ork - An OpenGL rendering kernel from Inria
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eggos
A Go unikernel running on x86 bare metal
eggos is a unikernel operating system written primarily in Go that runs directly on bare metal hardware without relying on a traditional operating system layer. It is designed around the idea that Go’s runtime already provides many abstractions typically handled by an operating system, such as scheduling and memory management, allowing a single Go application to function as both the kernel and the application itself. In EggOS, there are no processes or traditional system calls; instead,... -
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ML workspace
All-in-one web-based IDE specialized for machine learning
...This workspace is the ultimate tool for developers preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch, Keras, Sklearn) and dev tools (e.g., Jupyter, VS Code, Tensorboard) perfectly configured, optimized, and integrated. Usable as remote kernel (Jupyter) or remote machine (VS Code) via SSH. Easy to deploy on Mac, Linux, and Windows via Docker. Jupyter, JupyterLab, and Visual Studio Code web-based IDEs.By default, the workspace container has no resource constraints and can use as much of a given resource as the host’s kernel scheduler allows.
