Sigma-Point Filters based on Bayesian Quadrature
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Mar 29, 2018 - Python
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gaussian-process
Here are 17 public repositories matching this topic...
Highly performant and scalable out-of-the-box gaussian process regression and Bernoulli classification. Built upon GPyTorch, with a familiar sklearn api.
machine-learning scikit-learn sklearn regression pytorch gaussian-processes kriging gaussian-process gpytorch
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Aug 19, 2021 - Python
A NumPy implementation of Lee et al., Deep Neural Networks as Gaussian Processes, 2018
deep-learning neural-network numpy regression bayesian-inference prior lee google-brain gaussian-process neurips neurips-2018 infinite-width
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Mar 24, 2021 - Python
Treed Gaussian process algorithm in Python
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Jun 27, 2023 - Python
Data and code associated with paper "On the development of a practical Bayesian optimisation algorithm for expensive experiments and simulations with changing environmental conditions" currently in review.
machine-learning research research-paper optimisation bayesian-optimisation gaussian-process black-box-optimisation
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Jun 5, 2024 - Python
Resources and extra documentation for the manuscript "A Global Sensitivity-based Identification of Key Factors on Stability of Power Grid with Multi-outfeed HVDC" published in IEEE Latin America Transactions.
global-sensitivity-analysis analytic-hierarchy-process gaussian-process multi-outfeed-hvdc stability-index
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Aug 20, 2023 - Python
My implementation of several projects for the course "Probabilistic AI" at ETHZ in 2023, including Bayesian Optimization, Gaussian Processes and Reinforcement Learning.
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Dec 11, 2023 - Python
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Nov 9, 2020 - Python
Hyper-Parameter Tuning / BayesianOptimization / Gaussian Process / etc.
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Oct 8, 2020 - Python
Distributed surrogate-assisted evolutionary methods for multi-objective optimization of high-dimensional dynamical systems
python optimization mpi distributed-computing distributed evolutionary-algorithms mpi-applications multiobjective-optimization mpi4py nsga2 cmaes evolution-strategies gpflow gaussian-process trust-region smpso gpytorch surrogate-optimization
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Jan 26, 2025 - Python
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Nov 9, 2020 - Python
SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.
machine-learning sklearn bayesian-inference geology gaussian-processes groundwater pfa multivariate-regression hydrogeology gaussian-process-regression gaussian-process multiple-output-regression
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Jul 9, 2024 - Python
Multi-output Gaussian process regression via multi-task neural network
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Dec 3, 2019 - Python
1D, super-resolution brightness profile reconstruction for interferometric sources
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Oct 31, 2024 - Python
Calibration of an air pollution sensor monitoring network in uncontrolled environments with multiple machine learning algorithms
deep-learning neural-network random-forest tensorflow sklearn kernel-regression support-vector-regression k-nearest-neighbor multiple-linear-regression gaussian-process
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Apr 18, 2022 - Python
sGDML - Reference implementation of the Symmetric Gradient Domain Machine Learning model
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Aug 31, 2023 - Python
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
random-forest configuration hyperparameter-optimization bayesian-optimization hyperparameter-tuning automl automated-machine-learning hyperparameter-search bayesian-optimisation gaussian-process algorithm-configuration
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Apr 11, 2025 - Python
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