Kpca Eigen
Kernel principal component analysis using the Eigen linear algebra library [machine learning]
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Graphkernels | 91 | 2 | 9 months ago | 16 | June 28, 2018 | 5 | mit | C++ | ||
| A package for computing Graph Kernels | ||||||||||
| Struck | 86 | 5 years ago | 5 | gpl-3.0 | C++ | |||||
| Code to accompany the paper 'Struck: Structured Output Tracking with Kernels' | ||||||||||
| Mlgkernel | 14 | 4 years ago | 1 | gpl-3.0 | C++ | |||||
| Implementation of the Multiscale Laplacian Graph Kernel | ||||||||||
| A Machine Learning Library | 12 | 9 years ago | apache-2.0 | C++ | ||||||
| Machine learning library in C++ with Eigen | ||||||||||
| Machine Learning | 10 | 7 years ago | 11 | Python | ||||||
| Implementations of some of the basic ML algorithms. | ||||||||||
| Kpca Eigen | 8 | 8 years ago | mit | C++ | ||||||
| Kernel principal component analysis using the Eigen linear algebra library [machine learning] | ||||||||||
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