Showing 1086 open source projects for "linux kernel"

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    Apache Dubbo

    Apache Dubbo

    A high performance Java RPC framework

    Apache Dubbo is a high performance, lightweight, open source RPC framework written in Java. It offers three key functionalities: interface based remote call, load balancing and fault tolerance, and automatic service registration and discovery. Apache Dubbo is built to support multiple service registries and load balancing strategies right out of the box. Due to its micro-kernel and plugin design it can also be easily extended through third-party implementations. Plenty of companies...
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  • 2
    dlib

    dlib

    Toolkit for making machine learning and data analysis applications

    Dlib is a modern C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems. It is used in both industry and academia in a wide range of domains including robotics, embedded devices, mobile phones, and large high performance computing environments. Dlib's open source licensing allows you to use it in any application, free of charge. Good unit test coverage, the ratio of unit test lines of code to library lines of code is...
    Downloads: 3 This Week
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  • 3
    NVIDIA NeMo Agent Toolkit

    NVIDIA NeMo Agent Toolkit

    Library for efficiently connecting and optimizing teams of AI agents

    NVIDIA NeMo Agent Toolkit is an open-source framework designed to build, optimize, and manage AI agents across different development ecosystems. It provides enterprise-grade tools for improving agent performance, reliability, and observability throughout the development lifecycle. The toolkit integrates with popular agent frameworks such as LangChain, LlamaIndex, CrewAI, Microsoft Semantic Kernel, and Google ADK. Developers can monitor agent execution, trace workflows, and analyze...
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  • 4
    Deepnote

    Deepnote

    Deepnote is a drop-in replacement for Jupyter

    Deepnote is an open-source collaborative data science notebook platform designed as a modern alternative to traditional Jupyter notebooks. The project provides an AI-first computational environment where users can write, analyze, and share code, data, and visualizations in a single integrated workspace. Built on top of the Jupyter kernel ecosystem, it maintains compatibility with existing notebook workflows while introducing additional features focused on collaboration and automation. The...
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    Deckhouse

    Deckhouse

    Kubernetes platform from Flant

    Deckhouse is a Kubernetes platform that allows you to create homogeneous K8s clusters on any infrastructure. It manages clusters comprehensively and “automagically” and provides all necessary modules and add-ons for autoscaling, observability, security, and service mesh implementation. Deckhouse has vanilla Kubernetes under the hood and integrates a balanced set of Open Source tools that have become the industry standard. Out-of-the-box secure configuration of the Kubernetes cluster, least...
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  • 6
    k0s

    k0s

    k0s - The Zero Friction Kubernetes

    k0s is an all-inclusive Kubernetes distribution, which is configured with all of the features needed to build a Kubernetes cluster and packaged as a single binary for ease of use. k0s fits well in any cloud environment, but can also be used in IoT gateways, Edge and Bare metal deployments due to its simple design, flexible deployment options and modest system requirements.
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  • 7
    AtomAI

    AtomAI

    Deep and Machine Learning for Microscopy

    AtomAI is a Pytorch-based package for deep and machine-learning analysis of microscopy data that doesn't require any advanced knowledge of Python or machine learning. The intended audience is domain scientists with a basic understanding of how to use NumPy and Matplotlib. It was developed by Maxim Ziatdinov at Oak Ridge National Lab. The purpose of the AtomAI is to provide an environment that bridges the instrument-specific libraries and general physical analysis by enabling the seamless...
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  • 8
    FFTW.jl

    FFTW.jl

    Julia bindings to the FFTW library for fast Fourier transforms

    This package provides Julia bindings to the FFTW library for fast Fourier transforms (FFTs), as well as functionality useful for signal processing. These functions were formerly a part of Base Julia. Users with a build of Julia based on Intel's Math Kernel Library (MKL) can use MKL for FFTs by setting a preference in their top-level project by either using the FFTW.set_provider!() method, or by directly setting the preference using Preferences.jl. Note that this choice will be recorded for...
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  • 9
    bild

    bild

    Image processing algorithms in pure Go

    A collection of parallel image processing algorithms in pure Go. The aim of this project is simplicity in use and development over absolute high performance, but most algorithms are designed to be efficient and make use of parallelism when available. It uses packages from the standard library whenever possible to reduce dependency use and development abstractions. All operations return image types from the standard library. Package convolution provides the functionality to create and apply a...
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  • 10

    Focusrite Scarlett Controller Linux

    Focusrite Scarlett Controller Linux

    ...You get real-time hardware level meters with peak hold and clip detection, reading straight from the Scarlett's onboard DSP at 20Hz. Volume controls, boolean switches like 48V phantom power and Air mode, input routing — it's all there. Why it exists: Focusrite doesn't ship a Linux version of Focusrite Control. The kernel ALSA driver (snd-usb-audio with the Scarlett mixer quirk) exposes all the controls, but running amixer commands by hand with 50+ controls is painful. This puts a proper GUI on top of it. Requires: sudo apt install alsa-util
    Downloads: 3 This Week
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  • 11
    LIBSVM.jl

    LIBSVM.jl

    LIBSVM bindings for Julia

    LIBSVM bindings for Julia. This is a Julia interface for LIBSVM and for the linear SVM model provided by LIBLINEAR. Supports all LIBSVM models: classification C-SVC, nu-SVC, regression: epsilon-SVR, nu-SVR and distribution estimation: one-class SVM. Model objects are represented by Julia-type SVM which gives you easy access to model features and can be saved e.g. as JLD file.
    Downloads: 0 This Week
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  • 12
    OllamaSharp

    OllamaSharp

    The easiest way to use Ollama in .NET

    OllamaSharp is an open-source .NET library that provides strongly typed bindings for interacting with the Ollama API, making it easier for developers to integrate local large language models into C# and .NET applications. The project acts as a wrapper around the Ollama API, exposing all endpoints through asynchronous methods that allow developers to perform tasks such as generating text, creating embeddings, and managing models. It supports both local and remote Ollama instances, enabling...
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  • 13
    rCore-Tutorial-Book-v3

    rCore-Tutorial-Book-v3

    A book about how to write OS kernels in Rust easily

    rCore-Tutorial-Book-v3 is the official book for the third version of the rCore OS tutorial series, a comprehensive educational resource for learning operating system development using the Rust programming language. Targeted at the RISC-V architecture, this tutorial guides learners step-by-step through building a minimal, safe, and modern OS kernel from scratch. It is written in Markdown and powered by mdBook, making it easy to read, navigate, and contribute to. The book combines theoretical...
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  • 14
    PyTorch Geometric

    PyTorch Geometric

    Geometric deep learning extension library for PyTorch

    It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers. In addition, it consists of an easy-to-use mini-batch loader for many small and single giant graphs, a large number of common benchmark datasets (based on simple interfaces to create your own), and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds. We have outsourced a lot of...
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  • 15
    SlackEX Linux Live System

    SlackEX Linux Live System

    SlackEX 15.0 64 bit is based on Slackware Current

    SlackEX 15.0 Current (testing/developmental) 64 bit uses kernel 6.19.8-amd64-exton and the Xfce4 DE. SlackEX is based on Slackware 15.0. A lot of Slackware packages are are pre-installed. INSTALL TO HARD DRIVE The system can easily be installed to hard drive (during a live session) using a Refracta Installer. You can then use Grub2 as boot loader if you want. USB install SlackEX can be installed to a USB stick in Windows 10/11 using Rufus or in a Linux system using the dd-command. ...
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    Downloads: 17 This Week
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    Downloads: 1 This Week
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  • 17
    DeepGEMM

    DeepGEMM

    Clean and efficient FP8 GEMM kernels with fine-grained scaling

    DeepGEMM is a specialized CUDA library for efficient, high-performance general matrix multiplication (GEMM) operations, with particular focus on low-precision formats such as FP8 (and experimental support for BF16). The library is designed to work cleanly and simply, avoiding overly templated or heavily abstracted code, while still delivering performance that rivals expert-tuned libraries. It supports both standard and “grouped” GEMMs, which is useful for architectures like Mixture of...
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  • 18
    HunyuanImage-3.0

    HunyuanImage-3.0

    A Powerful Native Multimodal Model for Image Generation

    HunyuanImage-3.0 is a powerful, native multimodal text-to-image generation model released by Tencent’s Hunyuan team. It unifies multimodal understanding and generation in a single autoregressive framework, combining text and image modalities seamlessly rather than relying on separate image-only diffusion components. It uses a Mixture-of-Experts (MoE) architecture with many expert subnetworks to scale efficiently, deploying only a subset of experts per token, which allows large parameter...
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  • 19
    oneDNN

    oneDNN

    oneAPI Deep Neural Network Library (oneDNN)

    This software was previously known as Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) and Deep Neural Network Library (DNNL). oneAPI Deep Neural Network Library (oneDNN) is an open-source cross-platform performance library of basic building blocks for deep learning applications. oneDNN is part of oneAPI. The library is optimized for Intel(R) Architecture Processors, Intel Processor Graphics and Xe Architecture graphics. oneDNN has experimental support for the...
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  • 20
    glider

    glider

    glider is a forward proxy with multiple protocols support

    ...Force upstream querying by TCP. Association rules between dns and forwarder choosing. Association rules between dns and ipset. dns cache support. Custom dns record. IPSet management (linux kernel version >= 2.6.32). Add ip/cidrs from rule files on startup. Add resolved ips for domains from rule files by dns forwarding server. Serve HTTP and socks5 on the same port. Periodical availability checking for the forwarder.
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  • 21
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  • 22
    Laravel Tinker

    Laravel Tinker

    Powerful REPL for the Laravel framework

    Laravel Tinker is a powerful REPL for the Laravel framework, powered by the PsySH package. All Laravel applications include Tinker by default. However, you may install Tinker using Composer if you have previously removed it from your application. Tinker allows you to interact with your entire Laravel application on the command line, including your Eloquent models, jobs, events, and more. To enter the Tinker environment, run the tinker Artisan command. You can publish Tinker's configuration...
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  • 23
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  • 24
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  • 25
    Unikraft

    Unikraft

    A next-generation cloud native kernel designed to unlock performance

    Unikraft powers the next generation of cloud-native, containerless applications by enabling you to radically customize and build custom OS/kernels; unlocking best-in-class performance, security primitives, and efficiency savings. Unikraft optimizes resource utilization, leading to smaller footprints (meaning higher server saturation) and improved efficiency in resource-constrained environments. Unikraft is an open-source project driven by a vibrant community of over 100 developers, fostering...
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