61 skills found · Page 1 of 3
gtrll / GpslamSparse Gaussian Processes for SLAM
theogf / AugmentedGaussianProcesses.jlGaussian Process package based on data augmentation, sparsity and natural gradients
ZJU-FAST-Lab / FSGP BGKReal-time Spatial-temporal Traversability Assessment via Feature-based Sparse Gaussian Process
thangbui / Streaming Sparse GpStreaming sparse Gaussian process approximations
markvdw / GParMLDistributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.
fraenkel-lab / MogpMixture of Gaussian Processes Model for Sparse Longitudinal Data
JuliaGaussianProcesses / ApproximateGPs.jlApproximations for Gaussian processes: sparse variational inducing point approximations, Laplace approximation, ...
hassanjardali / Gp Based Terrain NavigatorA novel framework that utilizes a Sparse Gaussian Process (SGP) to assist robots in navigating autonomously on uneven terrains without using a global map.
aterenin / SparseGaussianProcesses.jlA Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.
HildoBijl / SONIGMatlab source code for the SONIG algorithm: Sparse Online Noisy-Input Gaussian process regression.
bee-hive / MedGPA distributed version of the sparse multi-output Gaussian process framework integrating python and C++.
amirhajibabaei / AutoForceSparse Gaussian Process Potentials
itskalvik / Sgp ToolsSoftware Suite for Sensor Placement and Informative Path Planning
chenw20 / SGPAExample code of Sparse Gaussian Process Attention (ICLR 2023)
linesd / SSGPRSparse Spectrum Gaussian Process Regression
akuhren / Selective GpCode accompanying the paper "Probabilistic Selection of Inducing Points in Sparse Gaussian Processes".
honglinwen / Wind Power Forecasting Based On SVGPCode for paper "Sparse Variational Gaussian Process based Day-ahead Probabilistic Wind Power Forecasting", IEEE Transactions on Sustainable Energy
yaringal / VSSGPVariational Sparse Spectrum Gaussian Process toolkit
thangbui / SparseGP PowerEPUnifying sparse approximations for Gaussian process regression and classification, using Power EP
aterenin / SparseGPAXAn ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
