Search Results for "virtual windows machine" - Page 3
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Showing 1366 open source projects for "virtual windows machine"
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linux-wasm
WebAssembly (Wasm) arch support for the Linux kernel
linux-wasm is an experimental project that ports the Linux kernel to run directly as a WebAssembly module, enabling a full Linux environment to boot and operate entirely inside a web browser without virtualization or cloud infrastructure. Instead of emulating Linux through a virtual machine, this project compiles the actual kernel for a WebAssembly target, allowing it to execute natively within a Wasm runtime. The system includes essential userland tools provided by BusyBox along with a lightweight libc implementation, making it possible to interact with a shell and execute basic commands in-browser. A terminal interface is implemented using web technologies, allowing users to experience a functioning Linux system through a standard web page. ... -
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ArkScript
ArkScript is a small, fast, functional and scripting language for C++
ArkScript is a small, fast, functional and scripting language for C++ projects. -
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Flower
Flower: A Friendly Federated Learning Framework
A unified approach to federated learning, analytics, and evaluation. Federate any workload, any ML framework, and any programming language. Federated learning systems vary wildly from one use case to another. Flower allows for a wide range of different configurations depending on the needs of each individual use case. Flower originated from a research project at the University of Oxford, so it was built with AI research in mind. Many components can be extended and overridden to build new... -
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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 of... -
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mruby
Lightweight Ruby
...It maintains compatibility with modern Ruby syntax while offering a significantly reduced footprint compared to the standard Ruby interpreter. The system includes its own virtual machine, bytecode compiler, and interactive shell, enabling developers to write, compile, and execute Ruby code efficiently. One of its core strengths is its embeddability, allowing developers to integrate scripting capabilities directly into applications written in C or C++. mruby also includes a package system called mrbgems, which enables modular extension of functionality through additional libraries. ... -
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Gradio
Create UIs for your machine learning model in Python in 3 minutes
Gradio is the fastest way to demo your machine learning model with a friendly web interface so that anyone can use it, anywhere! Gradio can be installed with pip. Creating a Gradio interface only requires adding a couple lines of code to your project. You can choose from a variety of interface types to interface your function. Gradio can be embedded in Python notebooks or presented as a webpage. A Gradio interface can automatically generate a public link you can share with colleagues that... -
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MLJ
A Julia machine learning framework
MLJ (Machine Learning in Julia) is a toolbox written in Julia providing a common interface and meta-algorithms for selecting, tuning, evaluating, composing and comparing about 200 machine learning models written in Julia and other languages. The functionality of MLJ is distributed over several repositories illustrated in the dependency chart below. These repositories live at the JuliaAI umbrella organization. -
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Besu Ethereum Client
An enterprise-grade Java-based, Apache 2.0 licensed Ethereum client
...Participation in private networks is typically restricted in some way, so the volume of traffic is much lower than on Mainnet, resulting in lower system requirements. Depending on your environment and network setup, the minimum Java Virtual Machine (JVM) memory requirement for private networks is 4 GB. -
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Hex
Package manager for the Erlang ecosystem
Hex is the official package manager for the Erlang ecosystem, supporting languages like Elixir and Erlang that run on the BEAM virtual machine. It integrates seamlessly with build tools such as Mix and Rebar3, allowing developers to fetch, publish, and manage packages efficiently. Hex provides a centralized repository, ensuring that packages are easily discoverable and maintainable, thereby streamlining the development workflow within the BEAM community. -
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tvm
Open deep learning compiler stack for cpu, gpu, etc.
Apache TVM is an open source machine learning compiler framework for CPUs, GPUs, and machine learning accelerators. It aims to enable machine learning engineers to optimize and run computations efficiently on any hardware backend. The vision of the Apache TVM Project is to host a diverse community of experts and practitioners in machine learning, compilers, and systems architecture to build an accessible, extensible, and automated open-source framework that optimizes current and emerging... -
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mlpack
mlpack: a scalable C++ machine learning library
mlpack is an intuitive, fast, and flexible C++ machine learning library with bindings to other languages. It is meant to be a machine learning analog to LAPACK, and aims to implement a wide array of machine learning methods and functions as a "swiss army knife" for machine learning researchers. In addition to its powerful C++ interface, mlpack also provides command-line programs, Python bindings, Julia bindings, Go bindings and R bindings. Written in C++ and built on the Armadillo linear... -
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TensorFlow
TensorFlow is an open source library for machine learning
Originally developed by Google for internal use, TensorFlow is an open source platform for machine learning. Available across all common operating systems (desktop, server and mobile), TensorFlow provides stable APIs for Python and C as well as APIs that are not guaranteed to be backwards compatible or are 3rd party for a variety of other languages. The platform can be easily deployed on multiple CPUs, GPUs and Google's proprietary chip, the tensor processing unit (TPU). TensorFlow... -
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better-sqlite3
The fastest and simplest library for SQLite3 in Node.js
The fastest and simplest library for SQLite3 in Node.js. Full transaction support. High performance, efficiency, and safety. Easy-to-use synchronous API (better concurrency than an asynchronous API... yes, you read that correctly). Support for user-defined functions, aggregates, virtual tables, and extensions. 64-bit integers (invisible until you need them). Worker thread support (for large/slow queries). Help this project stay strong! better-sqlite3 is used by thousands of developers and... -
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Qiling
Qiling Advanced Binary Emulation Framework
...The API-rich Qiling Framework brings reverse and instrument binary to the next level quicker. Additionally, Qiling provides API access to register, memory, filesystem, operating system and debugger. Qiling also provides virtual machine-level API such as save and restore execution state. It combines binary instrumentation and binary emulation into one single framework. -
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Google Cardboard XR Plugin for Unity
Google Cardboard XR plugin for Unity
This SDK provides everything you need to create your own Virtual Reality (VR) experiences for Google Cardboard in Unity 2019.4.25f1 or later. It supports essential VR features, such as motion tracking, stereoscopic rendering, and user interaction via the viewer button. With these capabilities, you can build entirely new VR experiences, or enhance existing apps with VR capabilities. You can use the Cardboard SDK to turn a smartphone into a VR platform. A smartphone can display 3D scenes with... -
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Gravity language
Gravity Programming Language
...It is written in portable C code that can be compiled on any platform using a C99 compiler. The VM code is about 4K lines long, the multipass compiler code is about 7K lines and the shared code is about 3K lines long. The compiler and virtual machine combined add less than 200KB to the executable on a 64-bit system. -
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Django friendly finite state machine
Django friendly finite state machine support
Django-fsm adds simple declarative state management for Django models. If you need parallel task execution, view, and background task code reuse over different flows - check my new project Django-view flow. Instead of adding a state field to a Django model and managing its values by hand, you use FSMField and mark model methods with the transition decorator. These methods could contain side effects of the state change. You may also take a look at the Django-fsm-admin project containing a... -
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.NET
This repo is the official home of .NET on GitHub
This repository is the home of the .NET platform’s source, infrastructure, and ecosystem coordination. It serves as a “virtual monolithic repo” that aggregates the components (runtime, SDK, libraries, tools) needed to build the .NET SDK and platform. It is a central launching point for understanding, contributing to, or navigating .NET’s many open source subprojects and documentation. Contains policies, guidelines, documentation, and meta-project glue. Synchronization of subprojects into a... -
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Rubix ML
A high-level machine learning and deep learning library for PHP
Rubix ML is a free open-source machine learning (ML) library that allows you to build programs that learn from your data using the PHP language. We provide tools for the entire machine learning life cycle from ETL to training, cross-validation, and production with over 40 supervised and unsupervised learning algorithms. In addition, we provide tutorials and other educational content to help you get started using ML in your projects. Our intuitive interface is quick to grasp while hiding alot... -
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ML.NET
Open source and cross-platform machine learning framework for .NET
With ML.NET, you can create custom ML models using C# or F# without having to leave the .NET ecosystem. ML.NET lets you re-use all the knowledge, skills, code, and libraries you already have as a .NET developer so that you can easily integrate machine learning into your web, mobile, desktop, games, and IoT apps. ML.NET offers Model Builder (a simple UI tool) and ML.NET CLI to make it super easy to build custom ML Models. These tools use Automated ML (AutoML), a cutting edge technology that... -
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WSLg
Enabling Windows Subsystem for Linux to include support for Wayland
...While users can accomplish this today using a multiple system setup, with individual PC dedicated to Windows and Linux, virtual machine hosting either Windows or Linux, or an XServer running on Windows and projected into WSL, WSLg provides a more integrated, user friendly and productive alternative. WSLg strives to make Linux GUI applications feel native and natural to use on Windows. From integration into the Start Menu for launch to appearing in the task bar, alt-tab experience to enabling cut/paste across Windows and Linux applications. -
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CasADi
CasADi is a symbolic framework for numeric optimization
...CasADi's backbone is a symbolic framework implementing forward and reverse modes of AD on expression graphs to construct gradients, large-and-sparse Jacobians, and Hessians. These expression graphs, encapsulated in Function objects, can be evaluated in a virtual machine or exported to stand-alone C code. Initial value problems in ordinary or differential-algebraic equations (ODE/DAE) can be calculated using explicit or implicit Runge-Kutta methods or interfaces to IDAS/CVODES from the SUNDIALS suite. Derivatives are calculated using sensitivity equations, up to arbitrary order. -
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MLJBase.jl
Core functionality for the MLJ machine learning framework
Repository for developers that provides core functionality for the MLJ machine learning framework. MLJ is a Julia framework for combining and tuning machine learning models. This repository provides core functionality for MLJ. -
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Seldon Core
An MLOps framework to package, deploy, monitor and manage models
The de facto standard open-source platform for rapidly deploying machine learning models on Kubernetes. Seldon Core, our open-source framework, makes it easier and faster to deploy your machine learning models and experiments at scale on Kubernetes. Seldon Core serves models built in any open-source or commercial model building framework. You can make use of powerful Kubernetes features like custom resource definitions to manage model graphs. And then connect your continuous integration and... -
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Clash
Haskell to VHDL/Verilog/SystemVerilog compiler
Clash is a functional hardware description language that borrows both its syntax and semantics from the functional programming language Haskell. It provides a familiar structural design approach to both combinational and synchronous sequential circuits. The Clash compiler transforms these high-level descriptions to low-level synthesizable VHDL, Verilog, or SystemVerilog. Clash is an open-source project, licensed under the permissive BSD2 license, and actively maintained by QBayLogic. The...
