Swift
Kotlin
Elixir
Perl
C++
Python
Dart
Go Programming Language
Nanonets
Docsumo
DocParser
Amazon Textract
Rossum
Dashblock
Tesseract
Base64.ai
We recommend LibHunt Swift for discovery and comparisons of trending Swift projects.
NanoNets is a Deep Learning web platform that makes it easier than ever before to use Deep Learning in practical applications. It combines the convenience of a web-based platform with Deep Learning models to create image recognition and object classification applications for your business. You can easily build and integrate deep learning models using NanoNets’ API. You can also work with our pre-trained models which have been trained on huge datasets and return accurate results. NanoNets has leveraged recent advances in Deep Learning to build rich representations of data which are transferable across tasks. It’s as simple as uploading your input, generating the output and getting a functioning and highly accurate Deep Learning model for your AI needs. NanoNets is revolutionary because it allows you to train models without large datasets. With just 100 images you can train a model on our platform to detect features and classify images with a high degree of accuracy. NanoNets benefits you in four important ways: ● It reduces the amount of data needed to build a Deep Learning Model ● NanoNets handles the infrastructure for hosting and training the model, and for the run time ● It reduces the cost of running deep learning models by sharing infrastructure across models ● It is possible for anyone to build a deep learning model
Swift| Categories |
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|---|---|
| Website | developer.apple.com |
| Pricing URL | - |
| Details $ | - |
| Platforms | |
| Release Date | - |
Nanonets| Categories |
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|---|---|
| Website | nanonets.com |
| Pricing URL | Official Nanonets Pricing |
| Details $ | freemium |
| Platforms | |
| Release Date | 2017-01-01 |
Based on our record, Swift should be more popular than Nanonets. It has been mentiond 27 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The raisons d'être between the CLR (and C#) and Swift are entirely different. Apple has explicitly set out to adopt swift as a successor language to C, Objective-C, C++, and Objective-C++[0][1]. This stands in stark contrast to Microsoft's vision for the CLR, which was… to be a better Java, more or less? (Does anyone actually know what the .NET initiative was all about? Microsoft went absolutely ham on it... - Source: Hacker News / 4 months ago
What part of the coding universe are you interested in? Swift? React? Fission Ecosystem? Source: 4 months ago
-- https://developer.apple.com/swift/ They also mention plans for kernel and firmware targets on that talk. - Source: Hacker News / 6 months ago
Not for Apple, > Swift was designed from the outset to be safer than C-based languages, and eliminates entire classes of unsafe code. -- https://www.swift.org/about/ > Swift is a successor to the C, C++, and Objective-C languages -- https://developer.apple.com/swift/. - Source: Hacker News / 6 months ago
Other popular mobile app libraries and languages include Swift, Kotlin, and React Native. Swift is a programming language developed by Apple that is used for iOS and macOS development. Kotlin is a programming language developed by JetBrains that is used for Android development. React Native is a JavaScript framework developed by Facebook that enables developers to build mobile applications for iOS and Android... - Source: dev.to / 10 months ago
Want to automate repetitive manual tasks? Check our Nanonets workflow-based document processing software. Source: almost 2 years ago
Nanonets is a no-code, workflow-based, and AI-enhanced intelligent document processing platform. It automates all document processes and is built on a robust, intelligent, self-learning OCR API that allows users to extract required data from documents in minutes. Source: almost 2 years ago
Check out our website here https://nanonets.com/ for more. We also have some free tools where you can experience our product for free (like https://nanonets.com/online-ocr). Source: almost 2 years ago
Here is another company, which I just came across by accident, which do the same: https://nanonets.com/. Source: about 2 years ago
We will be using Python3.6+, Django web framework, Nanonets for character extraction from an image, Cloudinary for image storage and Google Search API for performing the searches. - Source: dev.to / over 2 years ago
Kotlin - Statically typed Programming Language targeting JVM and JavaScript
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
Elixir - Dynamic, functional language designed for building scalable and maintainable applications
DocParser - Extract data from PDF files & automate your workflow with our reliable document parsing software. Convert PDF files to Excel, JSON or update apps with webhooks.
Perl - Highly capable, feature-rich programming language with over 26 years of development
Amazon Textract - Easily extract text and data from virtually any document using Amazon Textract. Textract goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables.
