Search Results for "virtual-machine" - Page 36
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Showing 2278 open source projects for "virtual-machine"
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GuillotineMenu.swift
Our Guillotine Menu Transitioning Animation implemented in Swift
Our Guillotine Menu Transitioning Animation implemented in Swift reminds a bit of a notorious killing machine. Now, it's for you to decide, should or not your menu drop from top left corner of the screen or from your navigation bar, because if you want animation like in the example, you must make your menu view controller conform to "GuillotineMenu" protocol. When you confirm to this protocol, you must make a menu button and title, you don't need to make a frame for them, because the animator will make it itself. ... -
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TensorFlow Object Counting API
The TensorFlow Object Counting API is an open source framework
The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems. Please contact if you need professional object detection & tracking & counting project with super high accuracy and reliability! You can train TensorFlow models with your own training data to built your own custom object counter system! If you want to learn how to do it, please check one of the sample projects, which cover some of the... -
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Object Oriented C (oo tools for C)
Object Oriented tools for C
Object Oriented C (oo tools for C) kit is for those who want to program in an object oriented manner, but stick on the good old C as well. It implements classes, single class inheritance, multiple inheritance by interfaces and mixins, and exception handling. Ideal for students getting to know OO programming or for systems that lack a C++ compiler. This is a collection of C macros and a small C library. Do not mix with the "ooc programming language" which is a different project at... -
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The Neural Process Family
This repository contains notebook implementations
Neural Processes (NPs) is a collection of interactive Jupyter/Colab notebook implementations developed by Google DeepMind, showcasing three foundational probabilistic machine learning models: Conditional Neural Processes (CNPs), Neural Processes (NPs), and Attentive Neural Processes (ANPs). These models combine the strengths of neural networks and stochastic processes, allowing for flexible function approximation with uncertainty estimation. They can learn distributions over functions from data and efficiently make predictions at new inputs with calibrated uncertainty — making them useful for few-shot learning, Bayesian regression, and meta-learning. ... -
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Shipit
Universal automation and deployment tool
...If you can't call shipit.initConfig(...) right away because you need to get data asynchronously to do so, you can return a promise from the module. List of files excluded in copyFromRemote or copyToRemote methods. Allows you to ‘become’ another user, different from the user that logged into the machine (remote user). If shallowClone is set to false, this directory will be used to clone the repository before deploying it. -
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Shrine
A TempleOS distro for heretics
Shrine is a modified distribution of TempleOS, aiming to retain compatibility with TempleOS programs while introducing enhancements for usability and connectivity. It incorporates features like a Unix-like shell, internet access, and a package downloader, expanding the capabilities of the original system. Shrine serves as a platform for exploring the unique aspects of TempleOS with added modern conveniences. -
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Zappa
Serverless Python
...With a traditional HTTP server, the server is online 24/7, processing requests one by one as they come in. If the queue of incoming requests grows too large, some requests will time out. With Zappa, each request is given its own virtual HTTP "server" by Amazon API Gateway. AWS handles the horizontal scaling automatically, so no requests ever time out. Each request then calls your application from a memory cache in AWS Lambda and returns the response via Python's WSGI interface. After your app returns, the "server" dies. -
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CrypTen
A framework for Privacy Preserving Machine Learning
CrypTen is a research framework developed by Facebook Research for privacy-preserving machine learning built directly on top of PyTorch. It provides a secure and intuitive environment for performing computations on encrypted data using Secure Multiparty Computation (SMPC). Designed to make secure computation accessible to machine learning practitioners, CrypTen introduces a CrypTensor object that behaves like a regular PyTorch tensor, allowing users to seamlessly apply automatic differentiation and neural network operations. ... -
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Lucet
Lucet, the Sandboxing WebAssembly Compiler.
Lucet is a native WebAssembly compiler and runtime designed to securely execute untrusted code with high performance and strong isolation guarantees. Developed by the Bytecode Alliance, it focuses on ahead-of-time compilation, converting WebAssembly modules into native machine code before execution to achieve fast startup times and predictable performance. Lucet is particularly notable for its use in edge computing environments, where low latency and efficient resource usage are critical, such as in content delivery networks. It leverages the Cranelift code generator to produce optimized native binaries and provides a runtime that enforces strict sandboxing, ensuring that untrusted code cannot compromise the host system. ... -
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TypeScript Koa Starter
TypeScript Koa Starter
Koa with TypeScript's application generator. Creates a new typescript koa application. application is configured to use TypeScript instead of plain JavaScript. Node Js is great for the rapid development of web-projects, but is often neglected because of the lack of type safety. TypeScript solves this issue and (along with its linter file) can even make your code more robust than some other static languages like Java. -
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PPface
PPface is vector processor emulator / simulator
...The system allows to visualize algorithm work by viewing vector memory and registers, it supports debugging and animated program execution. To run this app on 64-bit system please install Windows Virtual PC and Windows XP Mode. -
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Emojicode
World’s only programming language that’s bursting with emojis
Emojicode is an open-source, full-blown programming language consisting of emojis. As a multi-paradigm language, Emojicode features object orientation, optionals, generics, closures, and protocols. Emojicode compiles native machine code using lots of optimizations that make your code fast. Emojicode comes with a comprehensive set of default packages. And you can easily write your own. We believe that Emojis have expressive force. Let’s use that to make programming more fun and accessible. Emojicode is a straightforward language to learn, whatever background you have. ... -
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ChainerRL
ChainerRL is a deep reinforcement learning library
ChainerRL (this repository) is a deep reinforcement learning library that implements various state-of-the-art deep reinforcement algorithms in Python using Chainer, a flexible deep learning framework. PFRL is the PyTorch analog of ChainerRL. ChainerRL has a set of accompanying visualization tools in order to aid developers' ability to understand and debug their RL agents. With this visualization tool, the behavior of ChainerRL agents can be easily inspected from a browser UI. Environments... -
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IdeaSpaceVR
Create interactive 3D and VR web experiences
...Need a different theme? Look at our theme directory or create your own by using the Theme API. Embed spaces on your website or share on social media. Add a 3D or virtual reality space to your existing website. IdeaSpaceVR is using WebXR for interactive 3D and VR experiences that is compatible with all modern web browsers on desktop, mobile and VR headsets. Experience your 3D/VR space with any virtual reality headset or any desktop or mobile device. No plugin or app installation is required, just use your web browser. -
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FCML
A machine code manipulation library for Intel 64 and IA-32.
This is a general purpose machine code manipulation library for IA-32 and Intel 64 architectures. The library supports UNIX-like systems as well as Windows and is highly portable. The FCML library is free for commercial and non-commercial use as long as the terms of the LGPL license are met. Currently it supports such features as: - A one-line disassembler - A one-line assembler - An experimental multi-pass load-and-go assembler (Multi line!) -
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Baselines
High-quality implementations of reinforcement learning algorithms
Unlike the other two, openai/baselines is not currently a maintained or prominent repo in the OpenAI organization (and I found no strong reference in OpenAI’s main GitHub). Historically, “baselines” repositories are often used for baseline implementations of reinforcement learning algorithms or reference models (e.g. in the RL domain). If there was an OpenAI “baselines” repo, it might have contained reference implementations for reinforcement learning or model policy baselines to compare new... -
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PRMLT
Matlab code of machine learning algorithms in book PRML
This Matlab package implements machine learning algorithms described in the great textbook: Pattern Recognition and Machine Learning by C. Bishop (PRML). It is written purely in Matlab language. It is self-contained. There is no external dependency. This package requires Matlab R2016b or latter, since it utilizes a new Matlab syntax called Implicit expansion (a.k.a. broadcasting). -
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MozOS
Complete Edition
Universal ThinKing Machine -
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PigIron
Java bridge to IBM z/VM System Management API
PigIron is an open source Java class library which implements the client side of the IBM z/VM Virtual Machine Operating System Systems Management Application Programming Interface (VSMAPI). PigIron is not associated with the IBM corporation. -
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rpackage conjurer
Synthetic data generation using R
Builds synthetic data applicable across multiple domains. This package also provides flexibility to control data distribution to make it relevant to many industry examples. -
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TMSU
TMSU lets you tags your files and then access them
TMSU lets you tags your files and then access them through a nifty virtual filesystem from any other application. TMSU is a tool for tagging your files. It provides a simple command-line utility for applying tags and a virtual filesystem to give you a tag-based view of your files from any other program. TMSU does not alter your files in any way: they remain unchanged on disk, or on the network, wherever your put them. -
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GHC (Glasgow Haskell Compiler)
Mirror of the Glasgow Haskell Compiler
GHC (Glasgow Haskell Compiler) is the leading open-source compiler and interactive environment for the Haskell programming language, supporting the Haskell 2010 standard plus numerous language extensions. It compiles to native machine code (via LLVM or C), and includes the interactive GHCi REPL. For full information on building GHC, see the GHC Building Guide. Here follows a summary - if you get into trouble, the Building Guide has all the answers. For building library documentation, you'll need Haddock. To build the compiler documentation, you need Sphinx and Xelatex (only for PDF output). -
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CoreRender
UIKit a-là SwiftUI.framework
...CoreRender uses a declarative API to define UI components. You simply describe the layout for your UI based on a set of inputs and the framework takes care of the rest (diff and reconciliation from virtual view hierarchy to the actual one under the hood). CoreRender includes the robust and battle-tested Facebook's Yoga as default layout engine. Any component such as a text or image can be recycled and reused anywhere in the UI. -
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vlayout
LayoutManager extension for RecyclerView
vlayout customizes a VirtualLayoutManager, which inherits from LinearLayoutManager and introduces LayoutHelper Virtual layout manager manages a series of layouthelpers, and gives the specific layout ability to LayoutHelper. Each LayoutHelper provides a layout method. The framework provides several common layout types, including grid layout, linear layout, waterfall flow layout, suspended layout, suction side layout, etc. In this way, the ability of mixed layout is realized, and the extension of external is supported, new LayoutHelper is registered, and special layout mode is realized. ... -
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Network Function Framework for Go
NFF-Go -Network Function Framework for GO (former YANFF)
NFF-Go is a set of libraries for creating and deploying cloud-native Network Functions (NFs). It simplifies the creation of network functions without sacrificing performance. We are now supporting AF_XDP and supporting(almost) getting packets directly from Linux. So you do not need to write 3(three) different applications to process packets coming from different type of drivers of PMDs. You just write everything in NFF-Go, and it can dynamically use whatever you would like underneath....
