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
Ugh, website updates used to be such a hassle! Maybe FileZilla doesn't have every fancy feature out there, but for someone like me who just needs to update their website photos and stuff, FileZilla is a total rockstar.
Based on our record, FileZilla seems to be a lot more popular than Nanonets. While we know about 81 links to FileZilla, 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.
Just about everything you want to know about sun and moon data for any location. Also a world clock, time zones, timers, calculators, even weather. https://filezilla-project.org/. - Source: Hacker News / 2 months ago
References: Felipe Flop’s website https://www.filipeflop.com/blog/controle-monitoramento-iot-nodemcu-e-mqtt/ accessed on 01/27/2018. Eclipse server for MQTT Broker https://iot.eclipse.org/ accessed on 01/27/2018. Mosquitto https://mosquitto.org/ accessed on 01/27/2018. Cloud MQTT https://www.cloudmqtt.com/ accessed on 01/27/2018. DuckDNS https://www.duckdns.org/ accessed on 01/27/2018. Proftpd... - Source: dev.to / 6 months ago
You may choose to download the files locally and then upload them to your server using another client like WinSCP or FileZilla, but the simplest way would be to use wget with the download link as below:. - Source: dev.to / 6 months ago
===> Click here to buy Fetch! ===> Click here to download Filezilla. - Source: dev.to / 6 months ago
There are a lot of ways in which a WordPress GitHub integration can be helpful in WordPress development and project collaboration. One of them is in deploy routines with automatic deployments, instead of the cowboy coding approach, using FTP, manually grabbing our themes and/or plugin files, and uploading them manually using software like FileZilla, we can deploy directly from GitHub to our live WordPress site. - Source: dev.to / 12 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 / over 2 years ago
WinSCP - WinSCP is an open source free SFTP client and FTP client for Windows.
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
Cyberduck - A libre FTP, SFTP, WebDAV, S3, Backblaze B2, Azure & OpenStack Swift browser.
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.
Forklift - The most advanced dual pane file manager and file transfer client for macOS.
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.