Top 10 AI Platforms for Developers and ML Engineers

Top Items:

• Google Cloud AI Platform

  

  Platform for developing, training, and deploying machine learning models.

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• Amazon SageMaker

  

  Fully managed service to build, train, and deploy machine learning models.

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• Azure Machine Learning

  

  Cloud platform for the end-to-end machine learning lifecycle.

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• Databricks

  

  Platform for data and machine learning, based on Apache Spark.

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• TensorFlow

  

  Open-source library for machine learning and deep neural networks.

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• PyTorch

  

  Open-source machine learning library based on the Torch library.

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• Keras

  

  High-level API for building and training neural networks.

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• Google Cloud AutoML

  

  Suite of products enabling developers to train high-quality ML models with limited ML expertise.

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• H2O AutoML

  

  Automated machine learning in the H2O.ai platform.

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• NVIDIA Isaac Sim

  

  NVIDIA Isaac Sim is a robotics simulation application built on NVIDIA Omniverse, leveraging AI for...

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