DEAP
DEAP is an evolutionary computation framework for rapid prototyping and testing of ideas.
DEAP Alternatives
The best DEAP alternatives based on verified products, community votes, reviews and other factors.
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GraphLab Create is an extensible machine learning framework that enables developers and data scientists to easily build and deploy apps.
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NumPy is the fundamental package for scientific computing with Python
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Clear. Fast. Unlimited. Residential & Mobile Proxies For Best Price .
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scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
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The DimML programming language enables users to run any data solution on any website with only a single line of code.
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WEKA is a set of powerful data mining tools that run on Java.
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Logical Glue helps Lenders and Insurance organisations make better decisions with a highly intuitive and user-friendly Machine Learning Platform.
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OpenCV is the world's biggest computer vision library
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Feature Forge offers a set of tools for creating and testing machine learning features.
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Heroku for deep learning
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Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
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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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SuperLearner is a R package that implements the super learner prediction method and contains a library of prediction algorithms to be used in the super learner.
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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.
