Showing 2278 open source projects for "virtual-machine"

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  • 1
    Bareflank Hypervisor

    Bareflank Hypervisor

    lightweight hypervisor SDK written in C++

    The Bareflank Hypervisor is an open source hypervisor Software Development Toolkit (SDK) for Rust and C++, led by Assured Information Security, Inc. (AIS), that provides the tools needed to rapidly prototype and create your own hypervisor on 64bit versions of Intel and AMD (ARMv8 CPUs, RISC-V and PowerPC also planned). The Bareflank SDK is intended for instructional/research purposes as it only provides enough virtualization support to start/stop a hypervisor. Bareflank can also be used as...
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  • 2
    Arxiv Sanity Preserver

    Arxiv Sanity Preserver

    Web interface for browsing, search and filtering arxiv submissions

    Arxiv Sanity Preserver is a web application for discovering, organizing, and filtering machine-learning research papers from arXiv. It was created to make the large daily flow of new submissions easier for researchers to manage. The backend downloads papers, extracts their text, creates thumbnails, and computes TF-IDF representations for similarity analysis. Users can search papers, find work similar to a selected paper, browse popular submissions, and maintain a personal library. ...
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  • 3
    minicoro

    minicoro

    Single header stackful cross-platform coroutine library in pure C

    Minicoro is a single-file library for using asymmetric coroutines in C. The API is inspired by Lua coroutines but with C's use in mind. The project is being developed mainly to be a coroutine backend for the Nelua programming language. The library assembly implementation is inspired by Lua Coco by Mike Pall.
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  • 4
    TorchGAN

    TorchGAN

    Research Framework for easy and efficient training of GANs

    The torchgan package consists of various generative adversarial networks and utilities that have been found useful in training them. This package provides an easy-to-use API which can be used to train popular GANs as well as develop newer variants. The core idea behind this project is to facilitate easy and rapid generative adversarial model research. TorchGAN is a Pytorch-based framework for designing and developing Generative Adversarial Networks. This framework has been designed to...
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  • 5
    vmm - a virtual mail manager

    vmm - a virtual mail manager

    command line tool to manage email (alias-)domains/accounts/aliases …

    vmm is the easy to use and configurable command line tool for administrators and postmasters, to manage domains, alias-domains, accounts and relocated mail users. It allows the fast and easy management of mail servers. vmm is written in Python. It's designed for installations using Dovecot and Postfix with a PostgreSQL backend.
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  • 6
    Pythonidae

    Pythonidae

    Curated decibans of scientific programming resources in Python

    Pythonidae is a curated collection of scientific programming resources in Python, designed to support research and development across a wide range of disciplines. The repository organizes tools and libraries into domain-specific categories, including mathematics, statistics, machine learning, artificial intelligence, biology, chemistry, physics, earth sciences, and supercomputing. It also covers practical areas such as build automation, databases, APIs, computer graphics, and utilities, offering a structured reference for both academic and applied work. While the primary focus is on Python, some entries also highlight resources implemented in other languages like Julia, R, Go, and Java. ...
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  • 7
    TensorFlow Examples

    TensorFlow Examples

    TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

    TensorFlow Examples is a comprehensive repository of example implementations, tutorials, and reference code intended to help newcomers and intermediate learners dive into TensorFlow quickly. It contains both Jupyter notebooks and raw source code, covering a broad range of tasks: from basic machine-learning and neural-network models to more advanced use cases, using both TensorFlow v1 and v2 APIs. For clarity and educational value, each example is accompanied by explanatory comments or markdown cells to illustrate what the code does and why — a design that makes it especially suitable for self-learners or students following along with real data. ...
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  • 8
    The Time machine theme

    The Time machine theme

    Time machine is a Jekyll theme for GitHub Pages

    Time machine is a Jekyll theme for GitHub Pages. You can preview the theme to see what it looks like, or even use it today.
    Downloads: 0 This Week
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  • 9
    TensorNetwork

    TensorNetwork

    A library for easy and efficient manipulation of tensor networks

    TensorNetwork is a high-level library for building and contracting tensor networks—graphical factorizations of large tensors that underpin many algorithms in physics and machine learning. It abstracts networks as nodes and edges, then compiles efficient contraction orders across multiple numeric backends so users can focus on model structure rather than index bookkeeping. Common network families (MPS/TT, PEPS, MERA, tree networks) are expressed with concise APIs that encourage experimentation and comparison. ...
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  • 10
    TensorRT Pro

    TensorRT Pro

    C++ library based on tensorrt integration

    High-level interface for C++/Python. Simplify the implementation of the custom plugin. And serialization and deserialization have been encapsulated for easier usage. Simplify the compilation of fp32, fp16 and int8 for facilitating the deployment with C++/Python in server or embedded device. Models ready for use also with examples are RetinaFace, Scrfd, YoloV5, YoloX, Arcface, AlphaPose, CenterNet and DeepSORT(C++).
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  • 11
    MOF-VR
    MOF-VR is a virtual reality program developed for Microsoft Windows and HTC Vive that allows for hypothetical metal-organic frameworks (MOFs) to be constructed and tested in molecular dynamics simulations of guest molecules.
    Downloads: 1 This Week
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  • 12
    Machine Learning Cheat Sheet

    Machine Learning Cheat Sheet

    Classical equations and diagrams in machine learning

    This repository is a visually rich and well-organized “cheat sheet” summarizing core machine learning concepts, algorithms, formulas, and best practices. It includes summaries of supervised and unsupervised learning methods, model evaluation metrics (accuracy, precision, recall, ROC/AUC), overfitting/underfitting, regularization (L1/L2), cross-validation, feature engineering techniques, and perhaps tips for hyperparameter tuning.
    Downloads: 0 This Week
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  • 13
    BaGet

    BaGet

    A lightweight NuGet and symbol server

    ...You may need to give special permissions to the top-level BaGet folder so that the app can persist in its state. This is necessary as the Application Pools' identity is a virtual account that isn't recognized by the Windows User Management Console.
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  • 14
    Hyperledger Burrow

    Hyperledger Burrow

    A permissioned Ethereum smart-contract blockchain node

    Hyperledger Burrow is a permissioned Ethereum smart-contract blockchain node. It executes Ethereum EVM and WASM smart contract code (usually written in Solidity) on a permissioned virtual machine. Burrow provides transaction finality and high transaction throughput on a proof-of-stake Tendermint consensus engine. Burrow is a fully-fledged blockchain node and smart contract execution engine -- a distributed database that executes code. Burrow runs Ethereum Virtual Machine (EVM) and Web Assembly (WASM) smart contracts. ...
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  • 15
    Synthetic Mixed Data Generator
    A Synthetic Data Generator for producing mixed datasets described by relevant, irrelevant, and redundant features.
    Downloads: 0 This Week
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  • 16
    Einstein

    Einstein

    A runtime dependency manager

    ...At its current version, einstein is prepared to communicate to any Gitlab instance, through its api, so it assumes that declared dependencies represents projects that are all stored in a single Gitlab instance. In order to establish a successful connection to the Gitlab Api, it's necessary to create the environment variables on the machine where einstein will be executed.
    Downloads: 0 This Week
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  • 17
    eggos

    eggos

    A Go unikernel running on x86 bare metal

    ...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. It also integrates additional capabilities such as a JavaScript interpreter and experimental plans for WebAssembly execution, demonstrating its extensibility.
    Downloads: 0 This Week
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  • 18
    VPLE

    VPLE

    Vulnerable Pentesting Lab Environment

    VPLE (Linux) Vulnerable Pentesting Lab Environment VPLE is an Intentionally Vulnerable Linux Virtual Machine. This VM can be used to conduct security training, test security tools, and practice common penetration testing Labs. In VPLE bunch of labs are Available. NOTE:- "Only run in VMWare Pls Don’t run in VirtualBox" The default login and password is administrator: password. List Of All Labs in one VM:- 1. Web-DVWA 2.
    Downloads: 15 This Week
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  • 19
    Pixel Vision 8

    Pixel Vision 8

    Teach retro game development with streamlined workflows

    Pixel Vision 8's core philosophy is to teach retro game development with streamlined workflows. PV8 is also a platform that standardizes 8-bit fantasy console limitations built on top of a fork of MonoGame, called MonoVision. This engine provides a standard set of APIs to create authentic-looking 8-bit games with modern programming languages and workflows. It also allows you to define specific limitations for the resolution, colors, number of sprites on screen, and more. There are several...
    Downloads: 7 This Week
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  • 20
    ML workspace

    ML workspace

    All-in-one web-based IDE specialized for machine learning

    All-in-one web-based development environment for machine learning. The ML workspace is an all-in-one web-based IDE specialized for machine learning and data science. It is simple to deploy and gets you started within minutes to productively built ML solutions on your own machines. 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. ...
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  • 21

    ra

    ra is a programming language and machine.

    PLEASE READ THE PLATFORM SPECIFIC INSTRUCTIONS UNDER Files , ALSO FOUND IN README.txt, BEFORE DOWNLOADING!!! ra is a programming language and machine. Programs for ra are built from a small set of primitive control statements and a small set of operations. Although they contain no explicit types they are based on two primitive types, string and number, and a high order type, table. When called with the -d option ra includes commands for starting and stopping program execution and examining program state.
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  • 22
    Vue.js Analysis

    Vue.js Analysis

    Vue.js source code analysis

    ...It was created to help learners understand Vue’s implementation principles in a more systematic way than scattered blog posts. The project focuses on Vue 2.x internals, including initialization, reactivity, virtual DOM, component rendering, template compilation, lifecycle behavior, and related architectural ideas. It is connected to a paid video course but keeps the ebook material openly available for reading. The repository is best suited for front-end developers who already know Vue usage and want to understand how the framework works underneath. ...
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  • 23
    CalDOM

    CalDOM

    An agnostic, reactive & minimalist (3kb) JavaScript UI library

    An agnostic, reactive & minimalist (3kb) JavaScript UI library with direct access to native DOM. Instead of pulling you into a library-specific magical world, CalDOM let you fully access the DOM directly while keeping the reactivity. So you could take full advantage of native APIs & mix it with other libraries to gain superior performance & flexibility in the development process. In essence, CalDOM is just a wrapper around the native Node/Element. The overall performance drop is about 0.04x...
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  • 24
    ByteX

    ByteX

    ByteX is a bytecode plugin platform based on Android Gradle Transform

    ByteX is a bytecode plugin platform based on Android Gradle Transform Api and ASM. (Maybe you can think of it as a socket with unlimited plugs?) In the apk building process, each plugin is completely independent. It not only can run independently from the ByteX host, but also can be automatically integrated into the host into a single Transform along with other plugins. What's more, each plugin's code is decoupled from one another, as well as their host, which makes it extensible and highly...
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  • 25
    Bot Framework Solutions

    Bot Framework Solutions

    Set of templates and solutions to build advanced conversational apps

    ...Extend your assistant with reusable conversational Skills to add common functionality such as collection of reusable conversational skills enabling you to add functionality to a Virtual Assistant. Try the sample Skills available like Calendar, Email, To Do, Point of Interest, and more.
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