Search Results for "mystic-kernel"
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Showing 2466 open source projects for "mystic-kernel"
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HubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.
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KrakenD is a high-performance API Gateway optimized for resource efficiency, capable of managing 70,000 requests per second on a single instance. The stateless architecture allows for straightforward, linear scalability, eliminating the need for complex coordination or database maintenance.
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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. The number one way that we recommend you run Linux distributions is by installing Windows Terminal. Using Windows Terminal enables... -
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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. Some options are transparent to software (i.e cache geometries, some can be detected at runtime and configured and used accordingly, while... -
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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. With Semantic Kernel, you can leverage the same AI... -
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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. -
Paligo is an end-to-end Component Content Management System (CCMS) solution for technical documentation, policies and procedures, knowledge management, and more.
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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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ShredOS
Shredos Disk Eraser 64 bit for all Intel 64 bit processors
... for new hardware since that date. Nwipe originally was a fork of dwipe but has continued to have improvements and bug fixes and is now available in many Linux distros. ShredOS hopefully will always provide the latest nwipe on a up to date Linux kernel so it will support modern hardware. -
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LZ4
Extremely fast compression algorithm
LZ4 is lossless compression algorithm, providing compression speed > 500 MB/s per core (>0.15 Bytes/cycle). It features an extremely fast decoder, with speed in multiple GB/s per core (~1 Byte/cycle). A high compression derivative, called LZ4_HC, is available, trading customizable CPU time for compression ratio. LZ4 library is provided as open-source software using a BSD license. This benchmark simulates simple "static content transfer" scenario such as OS Kernel compression or video game's... -
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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. Note that the kernel... -
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JupyterLab
JupyterLab computational environment
... new workflows for interactive computing. 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. -
New customers get $300 in free credits to spend on Speech-to-Text. All customers get 60 minutes for transcribing and analyzing audio free per month, not charged against your credits.
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Tun2Socks
tun2socks , powered by gVisor TCP/IP stack
... IPv6 proxy and vice versa. Network Stack: Powered by user-space TCP/IP stack from Google container application kernel gVisor. -
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Talos Linux
Talos Linux is a modern Linux distribution built for Kubernetes
Talos Linux is Linux designed for Kubernetes – secure, immutable, and minimal. Supports cloud platforms, bare metal, and virtualization platforms. All system management is done via an API. No SSH, shell or console. Production-ready supports some of the largest Kubernetes clusters in the world. Open source project from the team at Sidero Labs. It only takes 3 minutes to launch a Talos cluster on your laptop inside Docker. Talos reduces your attack surface. It's minimal, hardened and... -
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Dokany
User mode file system for Windows
Dokany is the fork of Dokan, a user mode file system library that lets you easily and safely develop new file systems on the Windows OS. When creating new file systems on Windows, you need to develop a device driver that works in the kernel mode on Windows-- a difficult task without technical Windows Kernel knowledge. Dokany makes it easy. It enables you to create these file systems without device drivers, and is completely free to download. It is similar to FUSE, and also offers... -
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htop
An interactive process viewer
htop is a cross-platform interactive process viewer. htop allows scrolling the list of processes vertically and horizontally to see their full command lines and related information like memory and CPU consumption. Also, system-wide information, like load average or swap usage, is shown. The information displayed is configurable through a graphical setup and can be sorted and filtered interactively. Tasks related to processes (e.g. killing and renicing) can be done without entering their... -
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Compute Library
The Compute Library is a set of computer vision and machine learning
The Compute Library is a set of computer vision and machine learning functions optimized for both Arm CPUs and GPUs using SIMD technologies. The library provides superior performance to other open-source alternatives and immediate support for new Arm® technologies e.g. SVE2. -
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ToaruOS
Hobby operating system, bootloader, kernel, drivers, C library
ToaruOS is a "complete" operating system for x86-64 PCs and experimental support for ARMv8. 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... -
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Zephyr Project
Scalable, optimized, secure RTOS for multiple hardware architectures
The Zephyr Project is a new generation real-time operating system (RTOS) that supports multiple hardware architectures. It is based on a small-footprint kernel specially designed for use on resource-constrained and embedded systems. The Zephyr OS can be used for a wide range of applications: from simple embedded environmental sensors and LED wearables to sophisticated embedded controllers, smart watches, and IoT wireless applications. -
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Linux Surface
Linux Kernel for Surface Devices
Linux running on Microsoft Surface devices. These days, Linux supports a lot of devices out-of-the-box. As a matter of fact, this includes a good portion of the Microsoft Surface devices—for most parts at least. Unfortunately, Surface devices tend to be a bit special. 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... -
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TensorRT
C++ library for high performance inference on NVIDIA GPUs
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference. It includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for deep learning inference applications. TensorRT-based applications perform up to 40X faster than CPU-only platforms during inference. With TensorRT, you can optimize neural network models trained in all major frameworks, calibrate for lower precision with high accuracy, and deploy to hyperscale data centers,... -
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Osquery
SQL operating system instrumentation and monitoring framework
Osquery is an operating system instrumentation framework for Windows, OS X (macOS), Linux, and FreeBSD. The tools make low-level operating system analytics and monitoring both performant and intuitive. Osquery exposes an operating system as a high-performance relational database. This allows you to write SQL queries to explore operating system data. With osquery, SQL tables represent abstract concepts such as running processes, loaded kernel modules, open network connections, browser plugins... -
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stress-ng
This is the stress-ng upstream project git repository.
This is the stress-ng upstream project git repository. stress-ng will stress test a computer system in various selectable ways. It was designed to exercise various physical subsystems of a computer as well as the various operating system kernel interfaces. stress-ng was originally intended to make a machine work hard and trip hardware issues such as thermal overruns as well as operating system bugs that only occur when a system is being thrashed hard. Use stress-ng with caution as some... -
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IntelBluetoothFirmware
Intel Bluetooth Kernel Extensions for macOS
IntelBluetoothFirmware is a Kernel Extension that uploads Intel Wireless Bluetooth Firmware to provide native Bluetooth in macOS. The firmware binary files are from the Linux Open Source Project. -
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ArkOS
Another rockchip Operating System
Another rockchip Operating System. This OS came about from an initial fork of The Retro Arena to support a roms folder on a NTFS partition so that the management of roms could be done by simply putting you SD card into an appropriate card reader on a Windows 10 computer. Through various upgrades and tweaks overtime, it has diverged significantly from TheRA and it's time to rebrand this distro. With suggestions provided by community members, ArkOS was chosen. -
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CuPy
A NumPy-compatible array library accelerated by CUDA
.... 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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macFuse
FUSE extends macOS by adding support for user space file systems
... across the network, from memory, or any other combination of sources. Writing a file system using FUSE is orders of magnitude easier and quicker than the traditional approach of writing in-kernel file systems. Since FUSE file systems are regular applications (as opposed to kernel extensions), you have just as much flexibility and choice in programming tools, debuggers, and libraries as you have if you were developing standard macOS applications. -
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RWKV Runner
A RWKV management and startup tool, full automation, only 8MB
RWKV (pronounced as RwaKuv) is an RNN with GPT-level LLM performance, which can also be directly trained like a GPT transformer (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, fast training, saves VRAM, "infinite" ctxlen, and free text embedding. Moreover it's 100% attention-free. Default configs has enabled custom CUDA kernel acceleration, which is much faster and consumes much less VRAM. If you encounter possible compatibility issues...