Search Results for "virtual-machine" - Page 11
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Showing 360 open source projects for "virtual-machine"
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Git Time Machine
Atom package that allows you to travel back in commit history
git-time-machine is a user interface (often as an editor plugin or UI extension) that allows users to browse a file’s history visually, stepping back and forth through revisions in Git like a “time machine.” It shows changes to a file over time, lets users compare older states, and often provides diff and blame views to understand how the file evolved. -
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libaco
A blazing fast and lightweight C asymmetric coroutine library
...It has no more than 700 LOC but has the full functionality which you may want from a coroutine library. The benchmark part shows that a context switch between coroutines only takes about 10 ns (in the case of the standalone stack) on the AWS c5d.large machine. User could choose to create a new coroutine with a standalone stack or with a shared stack (could be shared with others). It is extremely memory-efficient, 10,000,000 coroutines simultaneously to run cost only 2.8 GB physical memory (run with tcmalloc, each coroutine has a 120B copy-stack size configuration). The phrase "fastest" in above means the fastest context switching implementation which complies to the Sys V ABI of Intel386 or AMD64. -
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VideoMan Library
C++ library for image acquisition and visualization
...It can also display multiple images using OpenGL with different layouts. Easy integration with OpenCV, CUDA... Perfect for computer vision. Keywords: video capture, computer vision, machine vision, opencv, opengl, cameras, video input devices, firewire, usb, gige -
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Face Recognition
World's simplest facial recognition api for Python & the command line
Face Recognition is the world's simplest face recognition library. It allows you to recognize and manipulate faces from Python or from the command line using dlib's (a C++ toolkit containing machine learning algorithms and tools) state-of-the-art face recognition built with deep learning. Face Recognition is highly accurate and is able to do a number of things. It can find faces in pictures, manipulate facial features in pictures, identify faces in pictures, and do face recognition on a folder of images from the command line. ... -
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PyTorch Book
PyTorch tutorials and fun projects including neural talk
This is the corresponding code for the book "The Deep Learning Framework PyTorch: Getting Started and Practical", but it can also be used as a standalone PyTorch Getting Started Guide and Tutorial. The current version of the code is based on pytorch 1.0.1, if you want to use an older version please git checkout v0.4or git checkout v0.3. Legacy code has better python2/python3 compatibility, CPU/GPU compatibility test. The new version of the code has not been fully tested, it has been tested... -
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react-tiny-virtual-list
A tiny but mighty 3kb list virtualization library
The react-tiny-virtual-list project is a lightweight and highly efficient list virtualization library designed to render large datasets in React applications without performance degradation. It focuses on simplicity and minimal footprint, offering a dependency-free solution that is only a few kilobytes in size. The library works by rendering only the visible portion of a list, reducing memory usage and improving rendering speed. -
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CrashRpt.CPP
Crash reporting for Windows applications and plugins
CrashRpt.CPP is a C++ library - Windows native client for Doctor Dump Crash Reporting System. It is used to implement crash reporting for Windows applications and plugins. -
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Your basic graph
Graph algorithms and data structures
...This text is about the implementation of a Go tool based entirely on functions – the API contains only immutable data types, and the code is built on top of a struct with five function fields. It’s a tool for building virtual graphs. In a virtual graph no vertices or edges are stored in memory, they are instead computed as needed. The tool is part of a larger library of generic graph algorithms. -
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VBScript Development Kit (VDK)
A VBScript development library for serious VBScript programmers
The VBScript Development Kit (VDK) is a VBScript compliant development library to be used in any host that has support for Windows Script Host (WSH). Modelled after the Java Development Kit (JDK), the VDK adds programming features/concepts prevalent in other higher order programming languages such as Java, C#, etc. The VDK provides rapid development capabilities by providing out of the box support for many common programming activities e.g., string manipulation and handling, file... -
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ADO.Net DAC for Delphi
Fastest and most reliable database connectivity solutions for any DB
...The ADO.Net DAC for Delphi consists of the following library of Data Access components: - SqlClient Data Access Components. - OracleClient Data Access Components. - ODBC Data Access Components. - OLE DB Data Access Components - Virtual Table Components. Pre-requisite: Net Runtime Library for Delphi Enterprise Edition (https://crystalnet-tech.com/RuntimeLibrary/Download.aspx) -
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Accord.NET Framework
Scientific computing, machine learning and computer vision for .NET
The Accord.NET Framework provides machine learning, mathematics, statistics, computer vision, computer audition, and several scientific computing related methods and techniques to .NET. The project is compatible with the .NET Framework. NET Standard, .NET Core, and Mono. -
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go-cache
An in-memory key:value store/cache library for Go
go-cache is an in-memory key:value store/cache similar to memcached that is suitable for applications running on a single machine. Its major advantage is that, being essentially a thread-safe map[string]interface{} with expiration times, it doesn't need to serialize or transmit its contents over the network. Any object can be stored, for a given duration or forever, and the cache can be safely used by multiple goroutines. Although go-cache isn't meant to be used as a persistent datastore, the entire cache can be saved to and loaded from a file (using c.Items() to retrieve the items map to serialize, and NewFrom() to create a cache from a deserialized one) to recover from downtime quickly. -
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TensorFlow World
Simple and ready-to-use tutorials for TensorFlow
This repository aims to provide simple and ready-to-use tutorials for TensorFlow. The explanations are present in the wiki associated with this repository. There are different motivations for this open source project. TensorFlow (as we write this document) is one of / the best deep learning frameworks available. The question that should be asked is why has this repository been created when there are so many other tutorials about TensorFlow available on the web? Deep Learning is in very high... -
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Caffe
A fast open framework for deep learning
Caffe is an open source deep learning framework that’s focused on expression, speed and modularity. It’s got an expressive architecture that encourages application and innovation, and extensible code that’s great for active development. Caffe also offers great speed, capable of processing over 60M images per day with a single NVIDIA K40 GPU. It’s arguably one of the fastest convnet implementations around. Caffe is developed by the Berkeley AI Research (BAIR)/The Berkeley Vision and... -
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Swift AI
The Swift machine learning library
Swift AI is a high-performance deep learning library written entirely in Swift. We currently offer support for all Apple platforms, with Linux support coming soon. Swift AI includes a collection of common tools used for artificial intelligence and scientific applications. A flexible, fully-connected neural network with support for deep learning. Optimized specifically for Apple hardware, using advanced parallel processing techniques. We've created some example projects to demonstrate the... -
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Grenade
Deep Learning in Haskell
Grenade is a composable, dependently typed, practical, and fast recurrent neural network library for concise and precise specifications of complex networks in Haskell. Because the types are so rich, there's no specific term level code required to construct this network; although it is of course possible and easy to construct and deconstruct the networks and layers explicitly oneself. Networks in Grenade can be thought of as a heterogeneous list of layers, where their type includes not only... -
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Pokedex.org
Offline-capable Pokédex web site
...It uses Service Workers to cache application resources so the Pokédex remains usable without a network connection. PouchDB provides browser-side data storage, while Web Workers move heavier processing away from the main interface thread. The UI is rendered with virtual-dom to keep interactions responsive on desktop and mobile devices. Pokémon data can be generated from PokéAPI and packaged into local database resources used by the application. The repository includes development, build, testing, and Service Worker versioning workflows. The project is now unmaintained but remains a notable example of an offline-first progressive web application architecture. -
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node2vec
Learn continuous vector embeddings for nodes in a graph using biased R
...By bridging ideas from graph theory and word embedding models, this project demonstrates how graph-based machine learning can be made efficient and flexible. -
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Random Bits Forest
RBF: a Strong Classifier/Regressor for Big Data
We present a classification and regression algorithm called Random Bits Forest (RBF). RBF integrates neural network (for depth), boosting (for wideness) and random forest (for accuracy). It first generates and selects ~10,000 small three-layer threshold random neural networks as basis by gradient boosting scheme. These binary basis are then feed into a modified random forest algorithm to obtain predictions. In conclusion, RBF is a novel framework that performs strongly especially on data... -
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nunn
This is an implementation of a machine learning library in C++17
nunn is a collection of ML algorithms and related examples written in modern C++17. -
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mds-utils
General purpose utilities for C++ and Python developers
This library is intended to become a collection of several C++ utilities. At present it contains: 1. a tool for detecting machine endianity. 2. utilities for the Boost uBLAS library. Amongst them, some type traits for detecting different uBLAS matrix types. 3. some useful classes that allow to treat the old C FILE pointer as a C++ stream. 4. C++ wrappers of the main Python objects, independent of those in Boost Python. Wrappers are provided also for NumPy arrays. 5. ... -
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node-opencv
OpenCV Bindings for node.js
OpenCV bindings for Node.js. OpenCV is the defacto computer vision library - by interfacing with it natively in node, we get powerful real time vision in js. People are using node-opencv to fly control quadrocoptors, detect faces from webcam images and annotate video streams. If you're using it for something cool, I'd love to hear about it! You'll need OpenCV 2.3.1 or newer installed before installing node-opencv. You can use opencv to read in image files. Supported formats are in the OpenCV... -
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Monkberry
Monkberry is a JavaScript library for building web user interfaces
...It uses a template-based approach where UI components are written in a custom templating syntax that compiles directly into efficient JavaScript code. Unlike frameworks that rely on a virtual DOM, Monkberry updates only the necessary parts of the actual DOM, resulting in significantly improved performance. Its compiled templates leverage JavaScript engine optimizations to reduce overhead and improve rendering speed. The library is intentionally minimal, with a small footprint of around one kilobyte, making it ideal for performance-critical applications or environments with limited resources. ... -
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jPTbox
Java Performance Toolbox
The jPTbox is a library designed as a collection of various small tools that can be used in development of Java applications that have strong performance requirements. Including: - watchdog - state-machine - atomic sequencers - statistics counters - TLV - BNF -
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State Controller Library
A C++ framework that implements generalised finite state machines.
The State Controller Library is a generic platform-independent C++ framework that allows finite state machines and multi-action planning generalisations thereof to be realised. The structure and implementation of this library focuses on the application of finite state machines to real-time control loops, but can be reasonably adapted for virtually any other application, even completely unrelated to control systems. An emphasis has been placed on having very low overhead so as not to hurt...
