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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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Open Source Computer Vision Library
A toolkit for making real world machine learning and data analysis applications in C++
mlpack: a fast, header-only C++ machine learning library
C++ library for audio and music analysis, description and synthesis, including Python bindings
Shōgun
ThunderSVM: A Fast SVM Library on GPUs and CPUs
Framework and Library for Distributed Online Machine Learning
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.