GitHub
GitLab
BitBucket
Visual Studio Code
Treehouse
CodePen
Pantheon
edX
Nanonets
Docsumo
DocParser
Amazon Textract
ABBYY FineReader
Tesseract
Base64.ai
Nanonets OCR
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
GitHub NanonetsBased on our record, GitHub seems to be a lot more popular than Nanonets. While we know about 2075 links to GitHub, we've tracked only 6 mentions of Nanonets. 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.
Tools: Utilize platforms like GitHub or GitLab for collaboration. - Source: dev.to / about 14 hours ago
$ git init $ git add . $ git commit -m "init" $ git branch -M gh-pages =============================================== $ git remote add origin https://github.com/[your_id]/[repo_name].git ******** choice not token or token github ******** 깃허브 토큰없거나 토큰 있는 경우 선택 $ git remote add origin https://[your_id]:[your_token]@github.io/{your_id}/{repo_name}.git =============================================== $ git push -u... - Source: dev.to / 1 day ago
This plugin is available at When you use this plugin, please specify https://github.com/goofmint/growi-plugin-quickchart/ in the GROWI plugin management. - Source: dev.to / 1 day ago
Visit GitHub and create a new repository (my-docker-app). - Source: dev.to / 1 day ago
Have an github account, if not create one https://github.com. - Source: dev.to / 8 days ago
Want to automate repetitive manual tasks? Check our Nanonets workflow-based document processing software. Source: about 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: about 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: about 2 years ago
Here is another company, which I just came across by accident, which do the same: https://nanonets.com/. Source: over 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
GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
BitBucket - Bitbucket is a free code hosting site for Mercurial and Git. Manage your development with a hosted wiki, issue tracker and source code.
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.
Visual Studio Code - Build and debug modern web and cloud applications, by Microsoft
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.
