Machine Learning Tools

TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Open Source

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

Open Source

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

Open Source

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

Open Source

Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.

Open Source

Machine Learning Operationalization

Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.

Datatron automates the deployment, monitoring, governance, and validation of your machine learning models in scikit-learn, TensorFlow, Keras, Pytorch, R, H20 and SAS

Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

Open Source freemium

The 5Analytics AI platform enables you to use artificial intelligence to automate important commercial decisions and implement digital business models.

Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.

Machine Learning Operationalization

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