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Awesome List
Probably the best curated list of data science software in Python.
GitHub stars and default-branch commits for krzjoa/awesome-python-data-science.
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A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Fit interpretable models. Explain blackbox machine learning.
mlpack: a fast, header-only C++ machine learning library
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
Marsyas - Music Analysis, Retrieval and Synthesis for Audio Signals
LibXtract is a simple, portable, lightweight library of audio feature extraction functions.