dhbrookes / VecGP

Gaussian Process Regression designed for machine learning predictions of force vectors in chemical environments

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VecGP

Theano implementation of Gaussian Process Regression designed for machine learning predictions of force vectors in chemical environments.

gpr.py implements a general GP regression scheme in theano

kernels.py implements many kernel functions

For more information, see the documentation in each of these files and the references below:

[1] C.E. Rasmussen and C.K.I Williams. MIT Press (2006)

[2] A.P. Bartok, R. Kondor and G. Csanyi. Phys. Rev. B. 87 (2013)

[3] A. Glielmo, P. Sollich, and A. De Vita. Phys. Rev. B. 95 (2017)

[4] G. Ferre, J.B. Maillet, and G. Stoltz. J. Chem. Phys. 143 (2015)

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Gaussian Process Regression designed for machine learning predictions of force vectors in chemical environments


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