|
|
Jupyter Notebook |
871 |
Gaussian Process Optimization using GPy |
Apr 20, 2023 |
|
|
MATLAB |
19 |
Gaussian Process Regression using GPML toolbox |
Mar 19, 2023 |
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|
Julia |
8 |
Gaussian process regression |
Apr 20, 2023 |
|
|
Matlab |
2 |
Gaussian Process Regression |
Sep 19, 2023 |
|
|
None |
5 |
Nearest Neighbor Gaussian Process |
Apr 05, 2022 |
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|
Python |
20 |
Sparse Gaussian Process Potentials |
Apr 11, 2023 |
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|
Python |
3 |
Gaussian Process Regression package |
Feb 28, 2023 |
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|
Python |
15 |
Categorical Latent Gaussian Process |
Nov 09, 2020 |
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|
Matlab |
4 |
multilinear gaussian process regression |
Dec 20, 2022 |
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|
JavaScript |
2 |
Gaussian process regression tutorial |
Sep 20, 2023 |
|
|
Jupyter Notebook |
7 |
Sparse Variational Additive Gaussian Process |
Jun 09, 2022 |
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|
C++ |
17 |
Gaussian Process Motion Planner 2 |
Apr 21, 2023 |
|
|
Matlab |
2 |
Gaussian process software in MATLAB. |
Sep 23, 2020 |
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|
Python |
2 |
Gaussian Process emulators in Python |
Oct 06, 2017 |
|
|
Python |
24 |
Scalable Gaussian Process Regression Networks |
Jun 28, 2022 |
|
|
None |
12 |
Gaussian Process Regression Network code |
Mar 27, 2023 |
|
|
Python |
3 |
Gaussian Process Supervised Topic Model (GPSTM) |
Jan 12, 2022 |
|
|
MATLAB |
15 |
Hierarchical Gaussian process latent variable model. |
Oct 28, 2022 |
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|
Python |
3 |
Gaussian process regression with feature selection |
Mar 20, 2022 |
|
|
Jupyter Notebook |
8 |
Gaussian-Process-based Systematics in HistFactory |
Apr 29, 2021 |
|
|
Jupyter Notebook |
173 |
A tutorial about Gaussian process regression |
Mar 19, 2023 |
|
|
Python |
217 |
The tiniest of Gaussian Process libraries |
Apr 22, 2023 |
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|
JavaScript |
34 |
Gaussian Process Regression Interactive Javascript Demo |
Apr 14, 2023 |
|
|
Jupyter Notebook |
15 |
Robust Gaussian Process with Iterative Trimming |
Jan 27, 2023 |
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|
Python |
22 |
Gaussian Process optimization algorithm for Hyperopt |
Mar 27, 2023 |
|
|
Python |
20 |
Variational Sparse Spectrum Gaussian Process toolkit |
Apr 16, 2022 |
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|
Jupyter Notebook |
2 |
Gaussian Process library for Machine Learning |
Apr 03, 2020 |
|
|
C++ |
4 |
C++ implementation of Gaussian process regression |
May 09, 2022 |
|
|
Jupyter Notebook |
9 |
Numpy implementation of Gaussian Process Regression |
May 25, 2023 |
|
|
Python |
2 |
GPmp: the Gaussian process micro package |
Jan 11, 2024 |
|
|
Python |
33 |
Design of experiments for model discrimination using Gaussian process surrogate models |
Apr 17, 2023 |
|
|
MATLAB |
40 |
multivariate Gaussian process regression and multivariate Student-t process regression |
Dec 26, 2022 |
|
|
Matlab |
3 |
Code for Point Process Sparse Variational Gaussian Process Factor Analysis |
Dec 04, 2018 |
|
|
R |
13 |
a greta extension for Gaussian process modelling |
Aug 24, 2021 |
|
|
Python |
13 |
Gaussian process factor analysis with Poisson observations |
Sep 29, 2021 |
|
|
C++ |
7 |
Simple C++ library for Gaussian process regression |
Jul 12, 2022 |
|
|
Python |
2 |
Gaussian Process Regression vs. Relevance Vector Machine. |
Feb 06, 2023 |
|
|
Matlab |
2 |
gaussian process model predictive control in MATLAB |
Mar 22, 2022 |
|
|
Jupyter Notebook |
2 |
GPLAR: Gaussian Process Latent Auto-regressive Regression |
Oct 26, 2021 |
|
|
Jupyter Notebook |
2 |
A simple implementation of Gaussian process regression |
Sep 21, 2021 |
|
|
Jupyter Notebook |
3 |
Gaussian Process Regression and Classification on Graphs |
Oct 04, 2021 |
|
|
Rust |
35 |
A Rust implementation of Gaussian Process regression. |
Apr 11, 2023 |
|
|
Python |
42 |
Parametric Gaussian Process Regression for Big Data |
Feb 06, 2023 |
|
|
Python |
165 |
Deep neural network kernel for Gaussian process |
Jul 29, 2022 |
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|
Matlab |
2 |
Multiresolution Kernel Approximation for Gaussian Process Regression |
Sep 26, 2021 |
|
|
Python |
2 |
Hyper-Parameter Tuning / BayesianOptimization / Gaussian Process / etc. |
Dec 14, 2021 |
|
|
Python |
2 |
Gaussian Process Priors for View-Aware Inference |
Oct 02, 2023 |
|
|
Python |
2 |
Lightweight Gaussian process regression package in Python. |
Jan 08, 2024 |
|
|
Go |
4 |
Goptuna sampler for Gaussian Process based bayesian optimization using d4l3k/go-bayesopt. |
Jun 28, 2022 |
|
|
Python |
3 |
Automatic fitting of SOLPS predictions to experimental data using Gaussian-process optimisation |
Nov 02, 2022 |