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A painless GP implementation library for educational purpose. Files explanation: sgp.ipynb: Simple GP Implementation in an hour (GP tutorial-E02) sgp_chs.ipynb: Simple GP Implementation in an hour in Chinese (GP tutorial-E02) cigp_v10: conditional independent GP (cigp) for multivariate output. cigp_dkl: CIGP with deep kernel learning (DKL), which pass the input X through a NN before reaching a normal GP. cigp_v12: CIGP with a given mean function cigp_v14: CIGP with a mixture of kernels landmark_cigp: CIGP for landmark localization example
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Homemade GP codes for easy DIY and study
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- Python 61.4%
- Jupyter Notebook 38.6%