- TensorFlow: The Google-developed TensorFlow open-source artificial intelligence framework is used by machine learning, deep learning, and other AI applications.
- PyTorch: Facebook developed the well-known open-source PyTorch AI platform for computer vision and natural language processing.
- Google Cloud AI Platform: It is a cloud-based platform with tools for developing and putting into use AI models in analytics, data management, and machine learning.
- Amazon SageMaker: It is a platform for developing and delivering machine learning models that runs in the cloud and has tools for prepping data, training models, and deploying them.
- IBM Watson Studio: It is a data science and AI cloud platform that comes with tools for data management, machine learning, and deep learning.
- Microsoft Azure AI: It is a cloud-based platform with machine learning, data management, and analytics tools for creating and deploying AI models.
- H2O.ai: It is an open-source AI platform including tools for data preparation, model training, and deployment that may be used for machine learning, deep learning, and other AI applications.
- KNIME: It has tools for data preparation, model training, and deployment and is an open-source platform for data science and machine learning.
- Scikit-Learn: It is an open-source machine learning framework for Python that has tools for preparing data, building models, and testing those models.
- RapidMiner: It offers tools for data preparation, model deployment, and model training. It is a platform for data science and machine learning that is intended for commercial use.
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