Topic: gaussian-process Goto Github
Some thing interesting about gaussian-process
Some thing interesting about gaussian-process
gaussian-process,Code for 'Memory-based dual Gaussian processes for sequential learning' (ICML 2023)
Organization: aaltoml
gaussian-process,Bayesian Learning for Control in Multimodal Dynamical Systems | written in Org-mode
User: aidanscannell
gaussian-process,Multi-output Gaussian process regression via multi-task neural network
User: alaya-in-matrix
gaussian-process,Hyper-Parameter Tuning / BayesianOptimization / Gaussian Process / etc.
User: albertsr
gaussian-process,Incremental Sparse Spectrum Gaussian Process Regression
User: alspitz
gaussian-process,Treed Gaussian process algorithm in Python
User: andrewfowlie
gaussian-process,SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Organization: automl
Home Page: https://automl.github.io/SMAC3/v2.1.0/
gaussian-process,Interactive Gaussian Processes
User: awav
gaussian-process,Normal Gaussian Process and Gaussian Process with Poisson Likelihood
User: bujunb
gaussian-process,1D, super-resolution brightness profile reconstruction for interferometric sources
Organization: discsim
Home Page: https://discsim.github.io/frank/
gaussian-process,Sigma-Point Filters based on Bayesian Quadrature
User: jacobnzw
gaussian-process,Gaussian-Process Surrogate Optimisation
User: jhadida
gaussian-process,Adaptive experimental design for maximizing information gain
User: jkbren
Home Page: https://github.com/jkbren/ps-gpucbpe
gaussian-process,
User: ma-compbio
gaussian-process,
User: ma-compbio
gaussian-process,Calibration of an air pollution sensor monitoring network in uncontrolled environments with multiple machine learning algorithms
User: marcelcases
gaussian-process,A NumPy implementation of Lee et al., Deep Neural Networks as Gaussian Processes, 2018
User: mb-29
gaussian-process,Gaussian Process localization with ToF and RSSI
User: miikkasna
gaussian-process,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.
User: mikediessner
gaussian-process,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.
User: mingqqq
gaussian-process,Flexible Bayesian Optimization in R
Organization: mlr-org
Home Page: https://mlr3mbo.mlr-org.com
gaussian-process,Programming assignments and final project of stochastic processes course
User: mohammadmozafari
gaussian-process,{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for time series analysis and forecasting
User: nicholasjclark
Home Page: https://nicholasjclark.github.io/mvgam/
gaussian-process,Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization
User: ntienvu
gaussian-process,Automated Bayesian model discovery for time series data
Organization: probsys
Home Page: https://probsys.github.io/AutoGP.jl/
gaussian-process,The Docker container for MGPfact is primarily used for unsupervised manifold learning of single-cell RNA-seq data and can factorize complex cell trajectories into interpretable branching Gaussian processes.
User: renjun0324
gaussian-process,SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.
User: robinthibaut
gaussian-process, A complete expected improvement criterion for Gaussian process assisted highly constrained expensive optimization
User: ruwangjiao
gaussian-process,Highly performant and scalable out-of-the-box gaussian process regression and Bernoulli classification. Built upon GPyTorch, with a familiar sklearn api.
User: stanbiryukov
gaussian-process,sGDML - Reference implementation of the Symmetric Gradient Domain Machine Learning model
User: stefanch
Home Page: http:/www.sgdml.org
gaussian-process,R Package for modeling omega-reliability coefficient from exogenous or latent space using Gaussian Processes or linear models.
User: stephensrmmartin
gaussian-process,A minimal implementation of Gaussian process regression in PyTorch
User: swyoon
gaussian-process,My implementation of several projects for the course "Probabilistic AI" at ETHZ in 2023, including Bayesian Optimization, Gaussian Processes and Reinforcement Learning.
User: wongwil
gaussian-process,Quasar Factor Analysis – An Unsupervised and Probabilistic Quasar Continuum Prediction Algorithm with Latent Factor Analysis
User: zechangsun
Home Page: https://arxiv.org/abs/2211.11784
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