The best alternatives to AI/ML Reads are Machine Learning Weekly, Snips, and Jiffy Reader. If these 3 options don't work for you, we've listed a few more alternatives below.
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AssemblyAIโ Speech-to-Text API with superhuman accuracy
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.
Jiffy Reader is a browser extension that allows you to read any website faster. We do this by selectively bolding certain parts of some words since the bottleneck while reading is your eyes, not your brain.
MakeML is an easy to use MacOS app for iOS devs, who want to try out machine learning in their apps. The app is made in a way that no Python development nor data scientist background are needed. There are 2 model types available for training: Object Detection and Style Transfer.
Lionbridgeโs 500,000+ annotators label your text, audio, image, and video data for machine learning. Using our custom-built platform, we can: ๐ค Create chatbot training data ๐ผ Label images and video ๐ Build sentiment analysis datasets ๐ฉโ๐ป Source annotators from around the world ๐ฌ Improve machine translation
Bifrost Data Search makes it easy for data scientists, developers and engineers everywhere to find the data you need! Search from almost 2000 open-source datasets with previews and in-depth analysis. 100% free. Proudly brought to you by bifrost.ai.
Hastyโs data-centric ML platform allows companies with unique data to build and deploy vision AI applications faster and more reliably across any infrastructure โ helping you bring value-added services to your product.
MLPro connects vetted machine learning and data science talent with companies. We help talent stand out beyond traditional resumes by allowing them to showcase their on-the-job skills through the industry's only automated open-ended coding challenges.
TechontheEdge compiles daily news, links and resources from thousands of websites on anything Artificial Intelligence, edge tech, and the wider Computer Science space. Design is keyword-centric with powerful search algorithms and many useful features.