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    Machine Learning
Machine Learning
  • Nanonets enables self-service artificial intelligence by simplifying adoption. Easily build machine learning models with minimal training data or knowledge of machine learning.
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  • Statsbot is helping you take control of your raw data, providing an all-in-one analysis tool for engineers and non-tech folks alike. Statsbot’s simple dashboards, seamless Slack integration, and premiere customer service are helping teams everywhere get more out of their data.
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  • TensorFlow is a fast, flexible, and scalable open-source machine learning library for research and production.
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    TensorFlow
  • Intersect Labs puts the world's most advanced algorithms in your hands with just three clicks. Make machine learning an easy, straightforward part of your workflow.
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    Intersect Labs
  • The future of search is about answers, not links. Conversations, not rigid keywords. Frase transforms how you deliver answers with your content.
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  • Learn Anything, the platform for knowledge discovery that helps you understand any topic through the most efficient paths, as voted by the community.
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    Learn Anything
  • Apple Inc. is an American multinational technology company headquartered in Cupertino, California, that designs, develops, and sells consumer electronics, computer software, and online services.
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    Apple
  • Tetra is an AI notetaker for phone calls, so you can focus on your conversation and keep your team in sync. Tetra dials into your calls and automatically takes notes for you, so you can focus on the conversation now and remember everything later.
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    Tetra
  • Handl provides a flexible API for document capture and data extraction by merging deep learning with human-in-the-loop.
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  • Test4Startup
  • Unplugg
  • Starlook: Body Shape, Size and Celebrity Outfits solves a problem of all customers of online clothing stores: the problem of choosing the right size and clothes for your body shape. We created a tool which allows customers get their measurements, clothing size and body shape.
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  • Hello world! I am DLP for developers. You can "use" me to -among other things- Train and Deploy state of the art Caffe models for classifications without writing a single line of code. Image segmentation is also supported. I provide main modules of a DL application pipeline: Data, Net, Train, and Deploy. Can't wait to hear from you!
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    Deep Learning Platform (DLP)
  • -Add face filters to your iOS/Android/Unity/HTML5 apps - in a matter of hours -Advanced live video segmentation: hair colour segmentation, background removal and segmentation -DeepAR Studio: if you already know SparkAR or Snap Studio you’ll find it a breeze
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