MAChineLearning
MAChineLearning is a framework that provides a quick and easy way to experiment with machine learning with native code on the Mac.
MAChineLearning Alternatives
The best MAChineLearning alternatives based on verified products, community votes, reviews and other factors.
Latest update:
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/machine-learning-playground-alternatives
Breathtaking visuals for learning ML techniques.
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/amazon-machine-learning-alternatives
Machine learning made easy for developers of any skill level
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Daily AI sports picks generated by artificial intelligence. SafeBet.ai helps you analyze all NBA, NFL, MLB, UFC and soccer games. It has a massive database by having analyzed all the games in the past 3 years. Use AI to improve your sports bets.
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/lobe-alternatives
Visual tool for building custom deep learning models
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/apple-machine-learning-journal-alternatives
A blog written by Apple engineers
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/exploratory-alternatives
Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.
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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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/logical-glue-alternatives
Logical Glue helps Lenders and Insurance organisations make better decisions with a highly intuitive and user-friendly Machine Learning Platform.
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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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/dataiku-alternatives
Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
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/best-of-machine-learning-alternatives
A collection of the best resources in Machine Learning & AI
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/opencv-alternatives
OpenCV is the world's biggest computer vision library
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/machine-learnings-alternatives
Understand how A.I. will change your future.
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/pandas-alternatives
Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.