Projects

Updated 11 months ago

skbel • Rank 8.5 • Science 64%

SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.

bayesian-inference gaussian-process gaussian-process-regression gaussian-processes geology groundwater hydrogeology machine-learning multiple-output-regression multivariate-regression pfa sklearn

Updated 11 months ago

stk • Rank 6.1 • Science 54%

The STK is a (not so) Small Toolbox for Kriging. Its primary focus is on the interpolation/regression technique known as kriging, which is very closely related to Splines and Radial Basis Functions, and can be interpreted as a non-parametric Bayesian method using a Gaussian Process (GP) prior.

computer-experiment-design gaussian-process-optimisation gaussian-process-regression gaussian-processes geostatistics kriging machine-learning

Updated 11 months ago

https://github.com/cheind/rgbd-correction • Science 10%

Code and data accompanying our work on spatio-thermal depth correction of RGB-D sensors based on Gaussian Process Regression in real-time.

calibration depth-maps gaussian-process-regression gaussian-processes rgbd tensorflow

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Open Source Science

skbel • Rank 8.5 • Science 64%

stk • Rank 6.1 • Science 54%

https://github.com/cheind/rgbd-correction • Science 10%