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
Based on our record, Logseq seems to be a lot more popular than Nanonets. While we know about 281 links to Logseq, 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.
Nice! I used https://wiki.systemcrafters.net/emacs/org-roam/ for a while but switched to LogSeq (https://logseq.com/) because org-roam was buggy. I like working with LogSeq, but even after a couple of years of using it, I’m not convinced by the Zettelkasten method. Maybe I’m doing it wrong! - Source: Hacker News / about 1 month ago
Sorry, but _what exactly_ «it seems to do» from your point of view? My «second brain» now is almost 300Mb of text, pictures, sound files, PDF and other stuff. As I already mentioned, it contains tables, mathematical formulae, sheet music, cross-references, code samples, UML diagrams and graphs in Graphviz format. It is versioned, indexed by local search engine, analyzed by AI assistant and shared between many... - Source: Hacker News / 5 months ago
Obsidian is great. For those looking for an open source alternative (or don't want to pay the Obsidian fees for professional usage) check out Logseq: https://logseq.com/. - Source: Hacker News / 5 months ago
For an opensource alternative to Obsidian checkout Logseq (1). I spent a while thinking obsidian was opensource out of my own ignorance and was disappointed when I learned it was not. 1: https://logseq.com/. - Source: Hacker News / 6 months ago
I use logseq to keep journal of my daily work. Source: 7 months 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 / almost 3 years ago
Obsidian.md - A second brain, for you, forever. Obsidian is a powerful knowledge base that works on top of a local folder of plain text Markdown files.
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
Joplin - Joplin is a free, open source note taking and to-do application, which can handle a large number of notes organised into notebooks. The notes are searchable, tagged and modified either from the applications directly or from your own text editor.
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.
Notion - All-in-one workspace. One tool for your whole team. Write, plan, and get organized.
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.