Minimal Implementation of Bayesian Optimization in JAX
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Apr 24, 2025 - Python
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gaussian-process-regression
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constrained/unconstrained multi-objective bayesian optimization package.
genetic-algorithm global-optimization multi-objective-optimization gaussian-processes bayesian-optimization multiobjective-optimization gaussian-process-regression surrogate-model-based-optimization
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Oct 18, 2022 - 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
Surrogate Final BH properties
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Mar 14, 2025 - Python
Sparse Spectrum Gaussian Process Regression
machine-learning optimization minimization regression prediction predictive-modeling conjugate-gradient regression-models gaussian-processes minimize regression-algorithms gaussian-process-regression ssgpr sparse-spectrum-gaussian-processes sparse-spectrum-gaussian-process
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Feb 26, 2020 - Python
Differentiable Gaussian Process implementation for PyTorch
machine-learning pytorch artificial-intelligence gaussian-processes auto-differentiation gaussian-process-regression
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Jul 8, 2018 - Python
Code and data accompanying our work on spatio-thermal depth correction of RGB-D sensors based on Gaussian Process Regression in real-time.
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Jul 13, 2022 - Python
Bayesian Inference. Parallel implementations of DREAM, DE-MC and DRAM.
python mpi inference bayesian bayesian-inference dram mcmc bayesian-optimization mpi4py mcmc-sampler dream gaussian-process-regression mcmc-sampling
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Sep 8, 2020 - Python
Gaussian Process Regression for training data with noisy inputs and/or outputs
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Mar 22, 2017 - Python
Multi Kernel Linear Mixed Models for Complex Phenotype Prediction
machine-learning gwas polygenic-risk-scores kernel-methods gaussian-processes statistical-genetics gaussian-process-regression polygenic-scores
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Jul 6, 2022 - Python
Personal reimplementation of some ML algorithms for learning purposes
machine-learning reinforcement-learning deep-learning random-forest clustering svm naive-bayes machine-learning-algorithms regression convolution bayesian smo lda knn kernels decision-tree dbscan gaussian-process-regression bandit-algorithms qda
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Jul 13, 2021 - Python
Modelling stellar activity signals with Gaussian process regression networks
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Dec 20, 2024 - Python
Hierarchical Gaussian Processes based Multi-Robot Relative Localization
localization ros gaussian-processes hierarchical-models gaussian-process-regression robotarium wifi-access-point ros-noetic relative-localization multi-robot-systems wireless-sensing
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Jul 21, 2024 - Python
Gaussian process regression with feature selection
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Sep 6, 2021 - Python
Gaussian process regression-based adversarial image detection
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Mar 24, 2023 - Python
Infinite-width neural networks from a practical point of view
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Feb 24, 2021 - Python
Gaussian Process Regression vs. Relevance Vector Machine.
python data-science machine-learning statistics regression data-analysis gaussian-process-regression relevance-vector-machine
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Jun 18, 2024 - Python
Contribution to an open source repository which implements the Bayesian Optimization algorithm - Knowledge Gradient implementation
python optimization scikit-learn knowledge-gradient gaussian-processes bayesian-optimization bayesian-statistics gaussian-process-regression
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Jun 11, 2022 - Python
Ko, Jongwoo, and Heeyoung Kim. "Deep Gaussian Process Models for Integrating Multifidelity Experiments with Non-stationary Relationships." IISE Transactions just-accepted (2021): 1-28.
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Jun 11, 2021 - Python
Engineer's Thesis
python data-science machine-learning neural-network numpy scikit-learn pandas support-vector-machine supervised-machine-learning knn-regression gaussian-process-regression
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Mar 16, 2024 - Python
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