Search Results for "kernel-ntfs" - Page 4
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Showing 207 open source projects for "kernel-ntfs"
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ToaruOS
Hobby operating system, bootloader, kernel, drivers, C library
...While many independent, hobby, and research OSes aim to experiment with new designs, ToaruOS is intended as an educational resource, providing a representative microcosm of functionality found in major desktop operating systems. The OS includes a kernel, bootloader, dynamic shared object linker, C standard library, its own composited windowing system, a dynamic bytecode-compiled programming language, advanced code editor, and dozens of other utilities and example applications. There are no external runtime dependencies and all required source code, totaling roughly 100k lines of (primarily) C, is included in this repository, save for Kuroko, which lives separately. ... -
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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. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Cross Platform Node Guide
Improve front-end engineer workflow & standard, powered by TypeScript
...In addition to serving basic development workflows and specifications, Feflow provides an easy-to-expand plug-in mechanism for creating a team-wide toolchain ecosystem. Feflow only provides a CLI and kernel. The CLI is responsible for interacting with the command line terminal. -
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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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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. With a strong emphasis on repeatability and automation, linux-factory reduces the manual overhead of compiling and deploying Linux kernels across various platforms. -
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WG UI
WireGuard Web UI for self-serve client configurations
...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 for that using a docker image based on wireguard-go. Keep in mind that this runs in userspace and not in kernel module. Unless you use the userspace version with docker you're required to have WireGuard installed on your host machine. You can configure wg-ui using commandline flags or environment variables. -
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Hydrogen
Run code interactively, inspect data, and plot
...You also may be interested in our latest project – interact – a desktop application that wraps up the best of the web-based Jupyter notebook. Watch expressions let you keep track of variables and re-run snippets after every change. Completions from the running kernel, just like autocomplete in the Chrome dev tools. Code can be inspected to show useful information provided by the running kernel. One kernel per language (so you can run snippets from several files, all in the same namespace). -
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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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Cosmos
Cosmos is an operating system "construction kit"
...Cosmos (C# Open Source Managed Operating System) is an operating system development kit that uses Visual Studio as its development environment. Despite C# in the name any .NET-based language can be used including VB.NET, Fortran, Delphi Prism, IronPython, F# and more. Cosmos itself and the kernel routines are primarily written in C#, and thus the Cosmos name. Cosmos is not an operating system in the traditional sense, but instead, it is an "Operating System Development Kit". Cosmos lets you create operating systems just as Visual Studio and C# normally let you create applications. Most users can write and boot their own operating system in just a few minutes, all using Visual Studio. -
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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? -
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gophernotes
The Go kernel for Jupyter notebooks and nteract
...The gophernotes logo was designed by the brilliant Marcus Olsson and was inspired by Renee French's original Go Gopher design. If you have the JUPYTER_PATH environmental variable set or if you are using an older version of Jupyter, you may need to copy this kernel config to another directory. -
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Periph
Peripherals I/O in Go
...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. A large set of device drivers (sensors, displays, LED controllers, storage, RTCs) give you batteries-included building blocks for prototypes and production systems. Command-line tools like periph-info help verify wiring, enumerate buses, and inspect capabilities before you ship. ... -
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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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Mimosa is a modeling and simulation platform, covering the process from building conceptual models to running the simulations. The specification uses ontologies and an extensible set of formalisms for the dynamics. The simulation kernel is based on DEVS.
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MACE
Deep learning inference framework optimized for mobile platforms
...Chip-dependent power options like big.LITTLE scheduling, Adreno GPU hints are included as advanced APIs. UI responsiveness guarantee is sometimes obligatory when running a model. 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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PowerShell Suite
My musings with PowerShell
...Among its components, there are scripts like Invoke-Runas (to launch processes under alternate credentials via CreateProcessWithLogonW), Invoke-CreateProcess (to spawn processes with fine control over flags, window state, etc.), Detect-Debug (to detect kernel or user mode debugging environments), Get-Handles (to enumerate handles in a process via NtQuerySystemInformation), Get-TokenPrivs (to inspect privileges on process tokens), Get-Exports (to parse DLL exports without loading DLLs), Masquerade-PEB (to alter the PEB of a process to appear as a different process), and UAC-TokenMagic (a method to bypass UAC via token manipulation). -
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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
...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, concurrency is handled entirely through goroutines and communication channels. The system includes a network stack capable of supporting TCP and UDP, as well as a virtual file system and basic console interface, enabling it to run networked applications directly on hardware. ... -
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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.
