Topic: gaussian-process-regression Goto Github
Some thing interesting about gaussian-process-regression
Some thing interesting about gaussian-process-regression
gaussian-process-regression,Infinite-width neural networks from a practical point of view
User: albertdominguez
gaussian-process-regression,Engineering Thesis written to predict fault detection in wind turbines using Python
User: aleksander-piprek
gaussian-process-regression,Minimal Implementation of Bayesian Optimization in JAX
User: alonfnt
gaussian-process-regression,Trajectory prediction by Bayesian learning of spatiotemporal velocity fields and hybrid Kalman filter
User: ameli
gaussian-process-regression,Differentiable Gaussian Process implementation for PyTorch
User: anassinator
gaussian-process-regression,Modern C++ library handling gaussian processes
User: andreacasalino
gaussian-process-regression,Gaussian Process Regression (GPR) with non-Gaussian likelihoods using robust infinite-dimension Monte Carlo Markov Chain (MCMC) sampling for spatial inference problems
User: andrewwango
gaussian-process-regression,Gaussian process and RBF interpolation.
User: arijusgrotuzas
gaussian-process-regression,interactive gaussian process modelling with d3.js
User: aybchan
Home Page: https://gaussianprocess.herokuapp.com/
gaussian-process-regression,Example machine learning applications for the determination of the residual yield force of corroded steel bars tested under monotonic tensile loading. Data is collected from 26 experimental programs avaialbe in the literature.
User: bma114
gaussian-process-regression,Bayesian linear and Gaussian process regression to predict CO2 concentration as a function of time
User: cdemutiis
gaussian-process-regression,Code and data accompanying our work on spatio-thermal depth correction of RGB-D sensors based on Gaussian Process Regression in real-time.
User: cheind
gaussian-process-regression,Study of Gaussian Process (GP) local and global approximations, and application of the sparse GP approximation, combining both the global and local approaches.
User: ebjaime
gaussian-process-regression,Code used to predict hydrogen atom transfer (HAT) energy barriers using Gaussian Process Regression
User: evulan
gaussian-process-regression,MSc Dissertation: Estimating Uncertainty in Machine Learning Models for Drug Discovery
User: georgebatch
gaussian-process-regression,EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data
Organization: grimmlab
gaussian-process-regression,Hierarchical Gaussian Processes based Multi-Robot Relative Localization
Organization: herolab-uga
gaussian-process-regression,This is the recent work of my on the importance and application of mathematical function around its Hilbert function theory on artificial intelligence algorithms. The main motivation was the desire of improving the convergence rate and learning rate of various learning algorithms via Generalized Gaussian Radial Basis Function.
User: himanshuvnm
Home Page: https://arxiv.org/pdf/2312.10693.pdf
gaussian-process-regression,Modelling stellar activity signals with Gaussian process regression networks
Organization: iastro-pt
Home Page: https://iastro-pt.github.io/gpyrn/
gaussian-process-regression,Python module providing a framework to trace individual edges in an image using Gaussian process regression.
User: jaburke166
gaussian-process-regression,MITx - MicroMasters Program on Statistics and Data Science - Data Analysis: Statistical Modeling and Computation in Applications - Fifth Project
User: jajokine
gaussian-process-regression,Code for "Latent Stochastic Differential Equations for Modeling Quasar Variability and Inferring Black Hole Properties"
User: jfagin
gaussian-process-regression,Ko, Jongwoo, and Heeyoung Kim. "Deep Gaussian Process Models for Integrating Multifidelity Experiments with Non-stationary Relationships." IISE Transactions just-accepted (2021): 1-28.
User: jongwooko
gaussian-process-regression,Official implementation of Self-Distillation for Gaussian Processes
User: kennethborup
gaussian-process-regression,Rust implementation of Gaussian Process regression
User: kentakato
gaussian-process-regression,
User: ktye-uf
gaussian-process-regression,
User: kyungjaelee
gaussian-process-regression,Gaussian process regression with feature selection
User: lim271
gaussian-process-regression,Sparse Spectrum Gaussian Process Regression
User: linesd
gaussian-process-regression,Gaussian Process Regression for training data with noisy inputs and/or outputs
User: maka89
gaussian-process-regression,constrained/unconstrained multi-objective bayesian optimization package.
User: masashisode
gaussian-process-regression,Personal reimplementation of some ML algorithms for learning purposes
User: maxencegiraud
gaussian-process-regression,Contribution to an open source repository which implements the Bayesian Optimization algorithm - Knowledge Gradient implementation
User: micheledisabato
gaussian-process-regression,Library for doing GPR (Gaussian Process Regression) in OCaml. Comes with a command line application.
User: mmottl
gaussian-process-regression,Weather prediction with Gaussian Process Regression
User: namyunwoo
gaussian-process-regression,Fair Classification with Gaussian Process (FCGP)
User: nphdang
gaussian-process-regression,Multi Kernel Linear Mixed Models for Complex Phenotype Prediction
User: omerwe
gaussian-process-regression,Gaussian process regression-based adversarial image detection
User: pod3275
gaussian-process-regression,SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.
User: robinthibaut
gaussian-process-regression,Learning-aided 3D mapping
Organization: robustfieldautonomylab
gaussian-process-regression,Interpolate grain boundary properties in a 5 degree-of-freedom sense via a novel distance metric.
Organization: sgbaird-5dof
gaussian-process-regression,A step-by-step guide for surrogate optimization using Gaussian Process surrogate model
User: shuaiguo16
gaussian-process-regression,Recursive Gaussian Process regression allows performing GP regression, while also being able to add train the model at runtime
User: smidmatej
gaussian-process-regression,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.
Organization: stk-kriging
gaussian-process-regression,A review of python packages for Gaussian Process Regression
User: subhasishbasak
gaussian-process-regression,A minimal implementation of Gaussian process regression in PyTorch
User: swyoon
gaussian-process-regression,Surrogate Final BH properties
User: vijayvarma392
gaussian-process-regression,Bayesian Inference. Parallel implementations of DREAM, DE-MC and DRAM.
User: wgurecky
gaussian-process-regression,Gaussian Process Regression vs. Relevance Vector Machine.
User: woctezuma
gaussian-process-regression,Codes and data for the paper "Physics-Informed Machine Learning Method for Large-Scale Data Assimilation Problems"
User: yeungyh
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