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Pycobra: A Python Toolbox for Ensemble Learning and Visualisation
We introduce pycobra, a Python library devoted to ensemble learning (reg...
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Seglearn: A Python Package for Learning Sequences and Time Series
Seglearn is an open-source python package for machine learning time seri...
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CausalML: Python Package for Causal Machine Learning
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QRMine: A python package for triangulation in Grounded Theory
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Thirteen Simple Steps for Creating An R Package with an External C++ Library
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Pymc-learn: Practical Probabilistic Machine Learning in Python
Pymc-learn is a Python package providing a variety of state-of-the-art p...
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Developing a comprehensive framework for multimodal feature extraction
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mvlearn: Multiview Machine Learning in Python
As data are generated more and more from multiple disparate sources, multiview datasets, where each sample has features in distinct views, have ballooned in recent years. However, no comprehensive package exists that enables non-specialists to use these methods easily. mvlearn, is a Python library which implements the leading multiview machine learning methods. Its simple API closely follows that of scikit-learn for increased ease-of-use. The package can be installed from Python Package Index (PyPI) or the conda package manager and is released under the Apache 2.0 open-source license. The documentation, detailed tutorials, and all releases are available at https://mvlearn.neurodata.io/.
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