Search Results for "network development platforms" - Page 2
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Showing 33 open source projects for "network development platforms"
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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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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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SwiftOCR
Fast and simple OCR library written in Swift
SwiftOCR is a fast and simple OCR library written in Swift. It uses a neural network for image recognition. As of now, SwiftOCR is optimized for recognizing short, one-line long alphanumeric codes (e.g. DI4C9CM). We currently support iOS and OS X. If you want to recognize normal text like a poem or a news article, go with Tesseract, but if you want to recognize short, alphanumeric codes (e.g. gift cards), I would advise you to choose SwiftOCR because that's where it exceeds. Tesseract is... -
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PMHTTP
Swift/Obj-C HTTP framework with a focus on REST and JSON
PMHTTP is an HTTP framework built around URLSession and designed for Swift while retaining Obj-C compatibility. We think URLSession is great. But it was designed for Obj-C and it doesn't handle anything beyond the networking aspect of a request. This means no handling of JSON, and it doesn't even provide multipart/form-data uploads. PMHTTP leaves the networking to URLSession and provides everything else. -
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GPUImage 2
Framework for GPU-accelerated video and image processing
GPUImage 2 is the second generation of the GPUImage framework, an open source project for performing GPU-accelerated image and video processing on Mac, iOS, and now Linux. The original GPUImage framework was written in Objective-C and targeted Mac and iOS, but this latest version is written entirely in Swift and can also target Linux and future platforms that support Swift code. The objective of the framework is to make it as easy as possible to set up and perform realtime video processing... -
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Bender
Easily craft fast Neural Networks on iOS
...Bender allows you to run trained models, you can use Tensorflow, Keras, Caffe, the choice is yours. Either freeze the graph or export the weights to files. You can import a frozen graph directly from supported platforms or re-define the network structure and load the weights. Either way, it just takes a few minutes. Bender suports the most common ML nodes and layers but it is also extensible so you can write your own custom functions. With Core ML, you can integrate trained machine learning models into your app, it supports Caffe and Keras 1.2.2+ at the moment. ... -
AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
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Potatso
Potatso is an iOS client that implements Shadowsocks proxy
Potatso is an iOS client that implements custom proxies with the leverage of Network Extension framework introduced by Apple since iOS 9. The project is tested with Xcode 9.4 (9F1027a) on iOS 11.4 (15F79) device with cocoapod version 1.4.0+. You can purchase it from App Store, or still use Potatso by building it manually and installing to your device from this project. -
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RandomKit
Random data generation in Swift
RandomKit is a Swift framework that makes random data generation simple and easy. RandomKit is possibly also compatible with FreeBSD, Android, and Windows (under Cygwin) but has not been tested for those platforms. The RandomGenerator protocol defines basic methods for generating primitive values and randomizing a buffer. All provided types that conform to RandomGenerator have a static default value that can be passed as an inout argument to generation functions. The RandomBytesGenerator... -
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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 usage of Swift AI. ... -
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Zenroad
Open-source tracking and safe-driving mobile application
Mobile app to track location, driving style, lifestyle patterns, vehicle data, and monitor car crashes. Initially, this app has been designed to showcast telematics SDK and Platform capabilities. Then we decided to make this source code available to help the developer community to create products that improve driver safety and efficiency as well as creating a new experience for their customers. The app is more advance than any existing vehicle logbook app, mileage tracker, insurance app,...
