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- Machine Box
- Alternatives
The best alternatives to Machine Box are D-ID, EC 2, and MonkeyLearn. If these 3 options don't work for you, we've listed over 10 alternatives below.
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PromotedBest alternatives to Machine Box
- D-ID is a key building block of the Generative AI ecosystem. The company's Natural User Interface (NUI) technologies transform images, text, videos, audio, and voice into interactive Digital People, elevating customer experience, marketing, and sales, and content creators around the world via a self-service studio, integrations, and API, capable of super-fast streaming-ready 100FPS rendering.
- Amazon Elastic Compute Cloud is a part of Amazon.com's cloud-computing platform, Amazon Web Services, that allows users to rent virtual computers on which to run their own computer applications.
- Train custom machine learning models to get topic, sentiment, intent, keywords and more. Do it in hours —not weeks— right inside the tools you already love.
- Optimize your costs by developing in the cloud. Invent with purpose.
- StackML is a web-based visual tool to create & train custom deep learning models which can be downloaded in Core ML or Tensorflow format to integrate directly in apps, or used as an API.
- Use MorphL™ AI to make intelligent decisions, personalize experiences and accelerate growth.
- Easily build the power of AI into your applications
- Cognitive Predictive Maintenance for IIoT
- Deploy your model to an HTTP endpoint with a single line of code. Monitor, manage, and update your models in production with a simple Python API. Check out a demo or try it for free with a quickstart: TensorFlow or Hugging Face Transformers.
- Zillin makes machine learning data preparation simple by enabling flawless team collaboration, as well as object segmentation, classification, and geolocalization.
- Labelbox is a collaborative training data software to create and manage labeled data for computer vision applications.
- Qualdo™ helps enterprises monitor mission-critical ML & data issues, errors, and quality using Advanced Data & ML Engineering.
