Bcfwstruct
Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Ml Course | 168 | 4 months ago | R | |||||||
| Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language | ||||||||||
| 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. | ||||||||||
| Bcfwstruct | 25 | 11 years ago | apache-2.0 | Matlab | ||||||
| Block-Coordinate Frank-Wolfe Optimization for Structural SVMs | ||||||||||
| Fast Furious | 16 | 5 years ago | mit | Jupyter Notebook | ||||||
| code (R, Matlab/Octave), models and meta-models I needed in my Machine Learning Lab but I didn't found on the shelf | ||||||||||
| Mltool | 9 | 9 years ago | gpl-2.0 | Matlab | ||||||
| Matlab/Octave Machine Learning Toolbox for Brain-Computer Interfaces | ||||||||||
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