Search Results for "high performance computing"
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Showing 6 open source projects for "high performance computing"
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Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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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. ... -
3
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... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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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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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.
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