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, Rollbar should be more popular than Nanonets. It has been mentiond 18 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.
Rollbar | https://rollbar.com | Remote US, Remote Europe, Budapest | Engineering, Technical Solutions About Rollbar: * We're a ~30-person team (SF, Budapest, remote US and Europe) with a mission to help developers build software quickly and painlessly * We help tens of thousands of developers find and fix errors faster. * Our backend handles billions of errors with low latency and high reliability * Our front-end... - Source: Hacker News / 3 days ago
When any unexpected errors occur we need to send the details over to an error logging service, for e.g. Like Rollbar. - Source: dev.to / 12 days ago
Rollbar is a real-time error tracking and monitoring tool that empowers development teams to deliver top-notch software. Its primary mission is to identify, report, and aggregate errors, exceptions, and issues in your applications as they happen, allowing developers to address them promptly. Rollbar assists developers in maintaining the best quality of software throughout the development process by offering... - Source: dev.to / 4 months ago
Usually you would use a tool like Sentry or Rollbar to catch and report errors. Those tools improve developer experience, however we should also think about user experience — and there is a way to make it more pleasant. What if when your users experience an error, we display a typeform to collect additional feedback from the user? - Source: dev.to / 10 months ago
About Rollbar: * We're a ~45-person team (SF, Barcelona, Budapest, and remote US) with a mission to help developers build software quickly and painlessly * We help tens of thousands of developers find and fix errors faster. * Our backend handles billions of errors with low latency and high reliability * Our front-end allows developers to discover and drill down across millions of errors in real-time * Our... - Source: Hacker News / about 1 year 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
Sentry.io - From error tracking to performance monitoring, developers can see what actually matters, solve quicker, and learn continuously about their applications - from the frontend to the backend.
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
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.
Raygun - Raygun gives developers meaningful insights into problems affecting their applications. Discover issues - Understand the problem - Fix things faster.
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.