Awesome Open Source

Programming Languages

Search results for machine learning gaussian process regression

gaussian-process-regression x

machine-learning x

8 search results found

Library for doing GPR (Gaussian Process Regression) in OCaml. Comes with a command line application.

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.

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

Differentiable Gaussian Process implementation for PyTorch

Multi Kernel Linear Mixed Models for Complex Phenotype Prediction

Interpolate grain boundary properties in a 5 degree-of-freedom sense via a novel distance metric.

Machinelearningalgos ⭐ 7

Personal reimplementation of some ML algorithms for learning purposes

Sparse Spectrum Gaussian Process Regression

Related Searches

Python Machine Learning (14,099)

Jupyter Notebook Machine Learning (12,247)

Machine Learning Neural Network (4,397)

Machine Learning Tensorflow (4,050)

Machine Learning Natural Language Processing (3,891)

Machine Learning Artificial Intelligence (3,877)

Machine Learning Data Science (3,802)

Machine Learning Pytorch (2,910)

Machine Learning Dataset (2,298)

Machine Learning Classification (2,092)

1-8 of 8 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.