Machine Learning Weekly is a newsletter with over 8,000 subscribers about machine learning and deep learning, curated in spare time by @alirezasmr to accelerate research.
Nanonets is an AI-driven solution that automates document processing and data extraction workflows. Leveraging advanced Optical Character Recognition (OCR) and deep learning models, Nanonets helps companies automate document-heavy business processes like accounts payable, order processing and insurance underwriting. Nanonets processes unstructured documents such as invoices, receipts, purchase orders, contracts, claims, and forms and converts them into structured output.
Evidently helps evaluate, test and monitor your AI-powered products. From ML-based classifiers to LLM chatbots and agents. Built on top of the leading open-source library with over 20 million downloads: https://github.com/evidentlyai/evidently
You like to learn and consume a lot of information, but have no great method for sharing it. Lyrnlink lets you build lists of your favorite books, podcast episodes, and other mediums, then share them with one simple link. Start sharing today!
👋 I'm Emil, a resident at the Google Arts & Culture Lab. I've made a visual directory with Machine Learning artworks and projects. More coming every week!!
Anon is an automated machine learning cloud service. It delivers a data scientist as a service, at a fraction of the costs, without needing to have machine learning knowledge.
Continual is the easiest way to build continually improving predictive models - from customer churn to inventory forecasts - directly on your cloud data warehouse.
https://pollux.dev/
that's the new URL 🆙
A tool that makes generating fake JSON data & mocking restful APIs for programmers easier without writing a single line of code with a drag and drop interface ( with JWT authentication)
Scale your machine learning development from research to production with an end-to-end solution that gives your data science team all the tools they need in one place.
Data Cluster Labs specialize in Image, Video, Audio, and Text data collection and annotation for deep learning through their managed crowd-sourcing platform for various AI projects. We also have open-sourced our sample datasets on Github and Kaggle.