TensorFlow Alternatives

Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.

Open source deep learning platform that provides a seamless path from research prototyping to...

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

IBM Watson Machine Learning Service enables you to create, train, and deploy self-learning models using an automated, collaborative workflow.

The best-in-class, rapid no-code Pega Platform is unified for building BPM, CRM, case management, and real-time decisioning apps.

Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

Build and deploy machine learning models in a simplified way with Azure Machine Learning service. Make machine learning more accessible with automated capabilities.

Salesforce Einstein is an Artificial Intelligence designed into the core of the Salesforce platform, where it power the world’s smartest CRM.

Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.

A high-level language and interactive environment for numerical computation, visualization, and programming

An optimized HTTP server / library implementation that can be used either as a standalone server or...

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