Search Results for "virtual-machine"
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14 projects for "virtual-machine" with 2 filters applied:
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Add Two Lines of Code. Get Full APM.Works out of the box for Rails, Django, Express, Phoenix, and more. Monitoring exceptions and performance in no time.
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Amazon Chime SDK for iOS
An iOS client library for integrating multi-party communications
The Amazon Chime SDK for iOS makes it easy to add collaborative audio calling, video calling, and screen share viewing features to iOS applications by using the same infrastructure services that power meetings on the Amazon Chime service. This Amazon Chime SDK for iOS works by connecting to meeting session resources that you have created in your AWS account. The SDK has everything you need to build custom calling and collaboration experiences in your iOS application, including methods to:... -
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RxJava
Reactive Extensions for the JVM
RxJava is a lightweight Java VM implementation of ReactiveX (Reactive Extensions). This is a library for the composition of asynchronous and event-based programs through observable sequences. It helps you write cleaner and simpler code by providing methods for solving problems quickly, and is easy to maintain and understand. RxJava works by extending the observer pattern in order to support sequences of data/events. It also allows you to compose sequences together declaratively through... -
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OpenBLAS
Optimized BLAS library based on GotoBLAS2 1.13 BSD version
...Please refer to tools built under Windows using Cmake the cross-platform, open-source build system. The new build system was developed in collaboration with Kitware Inc. Machine-specific optimized BLAS libraries are available for a variety of computer architectures. These optimized BLAS libraries are provided by the computer vendor or by an independent software vendor. -
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CPU Features
A cross platform C99 library to get cpu features at runtime
cpu_features is a cross-platform C library developed by Google that provides a simple and efficient way to detect available CPU features at runtime across a wide range of architectures and operating systems. It enables applications to determine which instruction sets (such as SSE, AVX, or NEON) are supported on the host machine, allowing developers to optimize performance dynamically. The library supports numerous architectures—including x86, ARM, AArch64, MIPS, POWER, RISCV, LoongArch, and s390x—and works on major operating systems like Linux, macOS, Windows, FreeBSD, Android, and iOS. Implemented in portable C99, it is thread-safe, has no memory allocations, and raises no exceptions, making it suitable even for use in low-level system libraries. ... -
Gemini 3 and 200+ AI Models on One PlatformBuild, govern, and optimize agents and models with Gemini Enterprise Agent Platform.
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Amazon Chime SDK for Android
An Android client library for integrating multi-party communications
The Amazon Chime SDK for Android makes it easy to add collaborative audio calling, video calling, and screen share viewing features to Android applications by using the same infrastructure services that power meetings on the Amazon Chime service. This Amazon Chime SDK for Android works by connecting to meeting session resources that you have created in your AWS account. The SDK has everything you need to build custom calling and collaboration experiences in your Android application,... -
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RE/flex lexical analyzer generator
The regex-centric, fast lexical analyzer generator for C++
...Supports fast scanning of UTF-8/16/32 files, strings, and streams. The reflex scanner generator generates clean C++ lexer class code that is thread-safe. Generates Graphviz files to visualize state machine DFAs. RE/flex works seamlessly with Bison. Language: C++ License: BSD-3 Documentation: https://www.genivia.com/doc/reflex/html/index.html Repository: https://github.com/Genivia/RE-flex Changelog: see SF-README.md -
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Lullaby
A collection of C++ libraries designed to help teams
Lullaby is a modular collection of high-performance C++ libraries developed by Google for creating immersive virtual and augmented reality (VR/AR) experiences. It provides a flexible framework built around an Entity-Component-System (ECS) architecture, enabling developers to design efficient, scalable, and data-driven 3D applications. The framework includes tools and APIs for rendering full 3D environments, managing spatial audio, handling animations, and constructing interactive UI elements optimized for VR interfaces. ... -
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TNN
Uniform deep learning inference framework for mobile
TNN, a high-performance, lightweight neural network inference framework open sourced by Tencent Youtu Lab. It also has many outstanding advantages such as cross-platform, high performance, model compression, and code tailoring. The TNN framework further strengthens the support and performance optimization of mobile devices on the basis of the original Rapidnet and ncnn frameworks. At the same time, it refers to the high performance and good scalability characteristics of the industry's... -
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GUI-lite
The smallest header-only GUI library(4 KLOC) for all platforms
...Code Telemetry and Analysis in real-time (remove .sh/.bat files if dislike sharing). Even a C beginner could master GUI-lite quickly. The source code only uses basic C++ features (class, virtual function). We chose C++ as it could make the code size significantly smaller and easier to read. Work smoothly with 3rd party frameworks(Qt/MFC/Winform/Cocoa/Web). Zero dependency, 100% build pass & runnable. Click the demo you like, and run it on your hardware. -
Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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MMdnn
Tools to help users inter-operate among deep learning frameworks
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML. MMdnn is a comprehensive and cross-framework tool to convert, visualize and diagnose deep learning (DL) models. The "MM" stands for model management, and "dnn" is the acronym of deep neural network. We implement a universal converter to convert DL models between frameworks,... -
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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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neural network designer
a dbms for neural nets. Chatbots, DTrees, random forests, n-grams,...
This project consists out of a windows based designer application and a library (that can run on multiple platforms, including android) together with several demo applications (including an MVC3 chatbot client and an android application). It is probably best compared to a database management system, but for neural networks instead of relational data. As such, the library is optimized for handling any type of data-size by using advanced streaming and caching algorithms. With the designer,... -
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The Environment State Virtual Sensors for Android is a library that allows recognition of environmental scenarios in which an Android device can be found. The basic scenarios types are: Motion states, Noise states, Proximity state, ringer-mode state.
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OpenSkyNet - Moving towards a comprehensive artificial intelligence solution for game developers under the LGPL. The goals are to implement action selection solvers, robust steering behaviors (including pathfinding algorithms), and machine learning.
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