Machine Learning Tools
The best Machine Learning Tools based on votes, our collection of reviews, verified products and a total of 128 factors
Top Machine Learning Tools
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/tensorflow-alternatives
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.
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/algorithmia-alternatives
Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.
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/keras-alternatives
Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
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/scikit-learn-alternatives
scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
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/pytorch-alternatives
Open source deep learning platform that provides a seamless path from research prototyping to...
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/managed-mlflow-alternatives
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.
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/mcenter-alternatives
Machine Learning Operationalization
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/datatron-alternatives
Datatron automates the deployment, monitoring, governance, and validation of your machine learning models in scikit-learn, TensorFlow, Keras, Pytorch, R, H20 and SAS
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/neptune-ai-alternatives
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.
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/iterative-ai-alternatives
Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.
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/5analytics-alternatives
The 5Analytics AI platform enables you to use artificial intelligence to automate important commercial decisions and implement digital business models.
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/numericcal-alternatives
Machine Learning Operationalization
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/spell-alternatives
Deep Learning and AI accessible to everyone