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All-in-one web-based IDE specialized for machine learning and data science.
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Machine learning and numerical analysis tools for Node.js and the Browser!
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Friendly machine learning for the web!
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A set of functions to support the development of machine learning algorithms.
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A Julia machine learning framework.
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A simple Machine Learning Framework written in Swift. Currently features Simple Linear Regression, Polynomial Regression, and Ridge Regression.
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A library consisting of useful tools for data science and machine learning tasks.
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ModelFox is a platform for managing and deploying machine learning models.
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Machine learning for NeuroImaging in Python.
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A general statistics and machine learning library.
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Lambda Architecture Framework using Apache Spark and Apache Kafka with a specialization for real-time large-scale machine learning.
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Machine Learning Framework from Industrial Practice.
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Parris, the automated infrastructure setup tool for machine learning algorithms.
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A web mining module for the Python programming language. It has tools for natural language processing, machine learning, among others.
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A complete object-oriented environment for machine learning in Matlab.
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Enables single machine or distributed training and evaluation of deep learning models.
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A JavaScript application framework for machine learning and its engineering.
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A platform for reproducible and scalable machine learning and deep learning on kubernetes.
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A library for machine learning that builds predictions using a linear regression.
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A library for machine learning that builds predictions using a linear regression.
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Another Python Machine Learning Library.
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Algorithmic Trading with Machine Learning.
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A Python extension module wrapping the full TiMBL C++ programming interface. Timbl is an elaborate k-Nearest Neighbours machine learning toolkit.
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Statistics, data mining and machine learning toolbox in Java.