Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Ml Course | 168 | 3 months ago | R | |||||||
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language | ||||||||||
Gpstuff | 144 | a year ago | 7 | gpl-3.0 | MATLAB | |||||
GPstuff - Gaussian process models for Bayesian analysis | ||||||||||
Liquidsvm | 45 | 3 | 4 years ago | 8 | September 14, 2019 | 11 | agpl-3.0 | C++ | ||
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. | ||||||||||
Mlc_toolbox | 23 | 5 years ago | 1 | gpl-3.0 | Matlab | |||||
A MATLAB/OCTAVE library for Multi-Label Classification | ||||||||||
Bagoffeatures | 5 | 7 years ago | gpl-3.0 | Matlab | ||||||
Bag-of-Features model for image classification (Octave) |