Showing 1657 open source projects for "virtual windows machine"

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  • 1
    Harvester

    Harvester

    Open source hyperconverged infrastructure (HCI) software

    Harvester is a modern, open, interoperable, hyperconverged infrastructure (HCI) solution built on Kubernetes. It is an open-source alternative designed for operators seeking a cloud-native HCI solution. Harvester runs on bare metal servers and provides integrated virtualization and distributed storage capabilities. In addition to traditional virtual machines (VMs), Harvester supports containerized environments automatically through integration with Rancher. It offers a solution that unifies...
    Downloads: 10 This Week
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  • 2
    .NET for Apache Spark

    .NET for Apache Spark

    A free, open-source, and cross-platform big data analytics framework

    .NET for Apache Spark provides high-performance APIs for using Apache Spark from C# and F#. With these .NET APIs, you can access the most popular Dataframe and SparkSQL aspects of Apache Spark, for working with structured data, and Spark Structured Streaming, for working with streaming data. .NET for Apache Spark is compliant with .NET Standard - a formal specification of .NET APIs that are common across .NET implementations. This means you can use .NET for Apache Spark anywhere you write...
    Downloads: 3 This Week
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  • 3
    Apache Spark

    Apache Spark

    A unified analytics engine for large-scale data processing

    Apache Spark is a unified engine for large-scale data processing, offering APIs for batch jobs, streaming, machine learning, and graph computation. It builds on resilient distributed datasets (RDDs) and the newer DataFrame/Dataset abstractions to provide fault-tolerant, in-memory computation across clusters. Spark’s execution engine handles scheduling, shuffles, caching, and data locality so users can focus on transformations rather than infrastructure plumbing. With Spark Streaming...
    Downloads: 3 This Week
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  • 4
    libvips

    libvips

    A fast image processing library with low memory needs

    libvips is a demand-driven, horizontally threaded image processing library. Compared to similar libraries, libvips runs quickly and uses little memory. libvips is licensed under the LGPL 2.1+. It has around 300 operations covering arithmetic, histograms, convolution, morphological operations, frequency filtering, colour, resampling, statistics and others. It supports a large range of numeric types, from 8-bit int to 128-bit complex. Images can have any number of bands. It supports a good...
    Downloads: 15 This Week
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  • 5
    diff-so-fancy

    diff-so-fancy

    Make your diffs human readable instead of machine readable

    diff-so-fancy strives to make your diffs human readable instead of machine readable. This helps improve code quality and helps you spot defects faster. diff-so-fancy is also available from NPM, Nix, brew, and as a package on Arch and Debian Linux. Windows users may need to install MinGW or the Windows subsystem for Linux. By default, the separator for the file header uses Unicode line-drawing characters.
    Downloads: 7 This Week
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  • 6
    Awesome Fraud Detection Research Papers

    Awesome Fraud Detection Research Papers

    A curated list of data mining papers about fraud detection

    A curated list of data mining papers about fraud detection from several conferences.
    Downloads: 0 This Week
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  • 7
    C/C++ for Visual Studio Code

    C/C++ for Visual Studio Code

    Repository for the Microsoft C/C++ extension for VS Code

    The C/C++ extension adds language support for C/C++ to Visual Studio Code, including features such as IntelliSense and debugging. C/C++ support for Visual Studio Code is provided by a Microsoft C/C++ extension to enable cross-platform C and C++ development on Windows, Linux, and macOS. C++ is a compiled language meaning your program's source code must be translated (compiled) before it can be run on your computer. VS Code is first and foremost an editor, and relies on command-line tools to...
    Downloads: 86 This Week
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  • 8
    AliasVault

    AliasVault

    Privacy-first password manager with built-in email aliasing

    AliasVault is a privacy-first password manager and identity protection platform that combines secure credential storage with built-in email aliasing to help users maintain anonymity and reduce tracking across the web. It is designed as an end-to-end encrypted system where all sensitive data, including passwords, usernames, notes, and email content, is encrypted on the client side before being transmitted or stored, ensuring that even the server cannot access user data. The platform...
    Downloads: 4 This Week
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  • 9
    SoapUI

    SoapUI

    SoapUI is a free and open source cross-platform functional testing

    SoapUI is the world's leading testing tool for API testing. See the SoapUI website to learn more. By downloading our software, you agree to our license and privacy policy. Automate and fit API testing into your team’s continuous delivery pipeline with the next-generation tool built for validation of REST, SOAP, GraphQL, microservices, and other back-end services. This is for developers and testers looking to accelerate their ability to deliver REST, SOAP, and GraphQL APIs. SoapUI Open Source...
    Downloads: 51 This Week
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  • 10
    Karpathy-Inspired Claude Code Guidelines

    Karpathy-Inspired Claude Code Guidelines

    A single CLAUDE.md file to improve Claude Code behavior

    Karpathy-Inspired Claude Code Guidelines is a curated learning and experimentation repository inspired by the work and teaching philosophy of Andrej Karpathy, designed to help learners build practical competence in deep learning, neural networks, and AI infrastructure. The project organizes a progressive path through exercises, notebooks, code examples, and practical mini-projects that echo Karpathy’s approach to “learning by doing,” where students build core concepts from first principles...
    Downloads: 4 This Week
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  • 11
    BentoML

    BentoML

    Unified Model Serving Framework

    BentoML simplifies ML model deployment and serves your models at a production scale. Support multiple ML frameworks natively: Tensorflow, PyTorch, XGBoost, Scikit-Learn and many more! Define custom serving pipeline with pre-processing, post-processing and ensemble models. Standard .bento format for packaging code, models and dependencies for easy versioning and deployment. Integrate with any training pipeline or ML experimentation platform. Parallelize compute-intense model inference...
    Downloads: 4 This Week
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  • 12
    Spring Statemachine

    Spring Statemachine

    Framework for application developers to use state machine concepts

    The Spring Statemachine project aims to provide a common infrastructure to work with state machine concepts in Spring applications. It is advised to check the actual state of this project by referring to the latest releases found on the Spring Statemachine Project Page. The git repo default branch may be relatively unstable when new features are added to the source code. Spring Statemachine uses a Gradle-based build system. In the instructions below, ./gradlew is invoked from the root of the...
    Downloads: 0 This Week
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  • 13
    Batteries Included

    Batteries Included

    The main Batteries Included repo

    Welcome to Batteries Included—the ultimate platform for modern service development. Built on Kubernetes and open-source, our software platform gives you an incredible, all-inclusive infrastructure experience thanks to an intuitive UI and advanced automation. In this repo, you'll find everything you need to contribute to development. From code and scripts to documentation and information, this is the hub of all things Batteries Included. Batteries Included is a platform designed to simplify...
    Downloads: 15 This Week
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  • 14
    Argo Workflows

    Argo Workflows

    Workflow engine for Kubernetes

    Argo Workflows is an open source container-native workflow engine for orchestrating parallel jobs on Kubernetes. Argo Workflows is implemented as a Kubernetes CRD (Custom Resource Definition). Define workflows where each step in the workflow is a container. Model multi-step workflows as a sequence of tasks or capture the dependencies between tasks using a directed acyclic graph (DAG). Easily run compute intensive jobs for machine learning or data processing in a fraction of the time using...
    Downloads: 8 This Week
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  • 15
    Axon

    Axon

    Nx-powered Neural Networks

    Nx-powered Neural Networks for Elixir. Axon consists of the following components. Functional API – A low-level API of numerical definitions (defn) of which all other APIs build on. Model Creation API – A high-level model creation API which manages model initialization and application. Optimization API – An API for creating and using first-order optimization techniques based on the Optax library. Training API – An API for quickly training models, inspired by PyTorch Ignite. Axon provides...
    Downloads: 8 This Week
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  • 16
    Deep Java Library (DJL)

    Deep Java Library (DJL)

    An engine-agnostic deep learning framework in Java

    Deep Java Library (DJL) is an open-source, high-level, engine-agnostic Java framework for deep learning. DJL is designed to be easy to get started with and simple to use for Java developers. DJL provides native Java development experience and functions like any other regular Java library. You don't have to be a machine learning/deep learning expert to get started. You can use your existing Java expertise as an on-ramp to learn and use machine learning and deep learning. You can use your...
    Downloads: 0 This Week
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  • 17
    Deployer

    Deployer

    Deployment tool with support for popular frameworks out of the box

    A deployment tool written in PHP with support for popular frameworks out of the box. Deployer is a cli tool for deployment of any PHP applications, including frameworks such as Laravel, Symfony, Zend Framework and many more. Main concept of Deployer is recipe, a php file containing tasks definitions. Recipe can require other recipes and extend/ override functionality. Also Deployer comes with bunch of ready to use recipes from community for Slack, etc. Deployer can be easily installed via...
    Downloads: 5 This Week
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  • 18
    DGL

    DGL

    Python package built to ease deep learning on graph

    Build your models with PyTorch, TensorFlow or Apache MXNet. Fast and memory-efficient message passing primitives for training Graph Neural Networks. Scale to giant graphs via multi-GPU acceleration and distributed training infrastructure. DGL empowers a variety of domain-specific projects including DGL-KE for learning large-scale knowledge graph embeddings, DGL-LifeSci for bioinformatics and cheminformatics, and many others. We are keen to bringing graphs closer to deep learning researchers....
    Downloads: 7 This Week
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  • 19
    Albumentations

    Albumentations

    Fast image augmentation library and an easy-to-use wrapper

    Albumentations is a computer vision tool that boosts the performance of deep convolutional neural networks. Albumentations is a Python library for fast and flexible image augmentations. Albumentations efficiently implements a rich variety of image transform operations that are optimized for performance, and does so while providing a concise, yet powerful image augmentation interface for different computer vision tasks, including object classification, segmentation, and detection....
    Downloads: 1 This Week
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  • 20
    ko

    ko

    Build and deploy Go applications on Kubernetes

    ko is a simple, fast container image builder for Go applications. It's ideal for use cases where your image contains a single Go application without any/many dependencies on the OS base image (e.g., no cgo, no OS package dependencies). ko builds images by effectively executing go build on your local machine, and as such doesn't require docker to be installed. This can make it a good fit for lightweight CI/CD use cases. ko also includes support for simple YAML templating which makes it a...
    Downloads: 6 This Week
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  • 21
    Sycamore

    Sycamore

    A library for creating reactive web apps in Rust and WebAssembly

    A reactive library for creating web apps in Rust and WebAssembly. Sycamore harnesses the full power of Rust via WebAssembly, giving you full control over performance. Write code that feels natural. Everything is built on reactive primitives without a cumbersome virtual DOM. No JavaScript. Had enough of JavaScript? So have we. Create apps using Sycamore without touching a single line of JS.
    Downloads: 0 This Week
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  • 22
    Public APIs

    Public APIs

    A collective list of free APIs

    public-apis is a collaboratively maintained repository that provides an extensive, categorized list of publicly available APIs for developers. Curated by community contributors and the team at APILayer, it serves as a centralized resource for discovering APIs across a wide range of domains, including data, machine learning, weather, entertainment, and finance. The project aims to make API exploration and integration more accessible by offering a single, organized index of open and...
    Downloads: 4 This Week
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  • 23
    Zeebe

    Zeebe

    Distributed Workflow Engine for Microservices Orchestration

    Automate processes at scale with unprecedented performance and resilience. Zeebe is the workflow and decision engine that powers Camunda Platform 8. Zeebe’s cloud-native design provides the performance, resilience, and security enterprises need to future-proof their process orchestration efforts. Zeebe distributes data across all brokers in a cluster with storage directly on the server filesystem. If one broker goes down, another can replace it with no data loss. This pre-configured...
    Downloads: 22 This Week
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  • 24
    Kornia

    Kornia

    Open Source Differentiable Computer Vision Library

    Kornia is a differentiable computer vision library for PyTorch. It consists of a set of routines and differentiable modules to solve generic computer vision problems. At its core, the package uses PyTorch as its main backend both for efficiency and to take advantage of the reverse-mode auto-differentiation to define and compute the gradient of complex functions. Inspired by existing packages, this library is composed by a subset of packages containing operators that can be inserted within...
    Downloads: 8 This Week
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  • 25
    Haiku

    Haiku

    JAX-based neural network library

    Haiku is a library built on top of JAX designed to provide simple, composable abstractions for machine learning research. Haiku is a simple neural network library for JAX that enables users to use familiar object-oriented programming models while allowing full access to JAX’s pure function transformations. Haiku is designed to make the common things we do such as managing model parameters and other model state simpler and similar in spirit to the Sonnet library that has been widely used...
    Downloads: 0 This Week
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