Search Results for "high performance computing"
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Showing 11 open source projects for "high performance computing"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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ncnn
High-performance neural network inference framework for mobile
ncnn is a high-performance neural network inference computing framework designed specifically for mobile platforms. It brings artificial intelligence right at your fingertips with no third-party dependencies, and speeds faster than all other known open source frameworks for mobile phone cpu. ncnn allows developers to easily deploy deep learning algorithm models to the mobile platform and create intelligent APPs. -
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Quasar Framework
Build high-performance VueJS user interfaces in record time
Effortlessly build high-performance & high-quality Vue.js 3 user interfaces in record time. Combine the power of Quasar UI with Quasar CLI. One source code for all platforms simultaneously with all the latest and greatest best practices out of the box. Focus only on your app's features and forget about the boilerplate around it. Build high-performance VueJS user interfaces in record time: responsive Single Page Apps, SSR Apps, PWAs, Browser extensions, Hybrid Mobile Apps and Electron Apps. ... -
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MediaPipe
Cross-platform, customizable ML solutions for live and streaming media
MediaPipe offers open-source cross-platform, customizable ML solutions for live and streaming media. Provides segmentation masks for prominent humans in the scene. MediaPipe Face Mesh is a face geometry solution that estimates 468 3D face landmarks in real-time even on mobile devices. It employs machine learning (ML) to infer the 3D surface geometry, requiring only a single camera input without the need for a dedicated depth sensor. Utilizing lightweight model architectures together with GPU... -
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Shadowsocks for Android
A shadowsocks client for Android
Shadowsocks for Android is the Android client for the widely-used, high-performance encryption protocol project Shadowsocks. It is a secure socks5 proxy for Android that is designed to protect your internet traffic. Shadowsocks for Android allows you to surf the internet privately and securely at all times through your Android device. It features bleeding-edge techniques with Asynchronous I/O and Event-driven programming. -
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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. -
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Apache Weex
A framework for building Mobile cross-platform UI
Weex is a framework for building performant mobile apps with modern web technology. Weex is using native components and native modules to take advantage of native rendering performance and platform capabilities. Both components and modules are pluggable and extendable. You can use a single codebase to generate different bundle files to running on both Webs, Android and iOS platforms. Native components and modules have a different implementation on each platform, but they all exposed the same... -
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Mars
A cross-platform network component developed by WeChat
...It consists of four main parts: Comm, which contains a basic library, including basic tools like sockets, threads, alarm, message queues, and coroutines; Xlog, which provides high-performance, high-availability, security, and fault-tolerant log functions; SDT which is the network diagnosis module; and STN or signaling transmission network module, the major component of Mars responsible for the small data signaling channel between the terminal and the server. Mars has been proven effective by billions of WeChat users. ... -
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Afraid to install that high performance 3D Game because your device just won't take it ? ,Want to rock Asphalt Legends on Ultra Graphics? Got no time to charge your device on the run? Or Maybe You Just Want to Embrace your Device Reborn. Behold!. "The eXtreme kernel" .. here to lift your desire for performance and battery beyond limits and measures.. and to the "eXtreme" you deserve more than" Stock ". you deserve "eXtreme" . unleash the true power of your device like never before, while you can. why live the stock life when u can go all the way "extreme!!".
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mui
High-performance framework closest to native APP experience
...On the other hand, the browser default control styles are few and ugly, making a beautiful control is very troublesome, and there are some simple UI frameworks but low performance. The mui framework effectively solves these problems. This is a framework that can facilitate the development of high-performance apps, and it is also the framework that is closest to the effect of native apps. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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SmartMuseum
Software for work with Corpus of Everyday life history Sources
Everyday life history is becoming of high interest due to the growing amount of various historical sources related to common human being. Analysis of such sources needs considering them as interrelated. Evaluation of such relations leads to meaningful results for different groups of information consumers: from professional historians and experts from close humanitarian sciences to common people, interested in everyday community life. Corpuses of everyday life history sources are being... -
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StickyListHeaders
An android library for section headers that stick to the top
...StickyListHeaders actively supports android versions 2.3 (gingerbread) and above. That said, it works all the way down to 2.1 but is not actively tested or working perfectly. The goal of this project is to deliver a high performance replacement to ListView. You should with minimal effort and time be able to add section headers to a list. This should be done via a simple to use API without any special features. This library will always priorities general use cases over special ones. This means that the library will add very few public methods to the standard ListView and will not try to work for every use case.
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