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GitHub topics: gaussian-processes

google/neural-tangents

Fast and Easy Infinite Neural Networks in Python

Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: about 21 hours ago - Pushed at: about 1 year ago - Stars: 2,332 - Forks: 229

cornellius-gp/gpytorch

A highly efficient implementation of Gaussian Processes in PyTorch

Language: Python - Size: 29.3 MB - Last synced at: 1 day ago - Pushed at: about 1 month ago - Stars: 3,685 - Forks: 564

bayesian-optimization/BayesianOptimization

A Python implementation of global optimization with gaussian processes.

Language: Python - Size: 45.2 MB - Last synced at: 2 days ago - Pushed at: about 1 month ago - Stars: 8,190 - Forks: 1,566

JBris/zero-inflated-gaussian-processes

Latent gaussian processes for zero inflated count data.

Language: HTML - Size: 526 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0

maxgfr/gaussian-helper

A simple tool to help you with Gaussian calculations

Language: TypeScript - Size: 1.98 MB - Last synced at: 2 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0

ameli/detkit

Matrix Determinant Toolkit (memdet)

Language: Python - Size: 24.6 MB - Last synced at: 2 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

JuliaEarth/GeoStatsProcesses.jl

Geostatistical processes for the GeoStats.jl framework

Language: Julia - Size: 213 KB - Last synced at: 2 days ago - Pushed at: 3 days ago - Stars: 3 - Forks: 0

fabsig/GPBoost

Combining tree-boosting with Gaussian process and mixed effects models

Language: C++ - Size: 176 MB - Last synced at: 1 day ago - Pushed at: 6 days ago - Stars: 599 - Forks: 50

jlparkI/xGPR

Efficient approximate Bayesian machine learning

Language: Python - Size: 8.1 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 7 - Forks: 1

JaxGaussianProcesses/GPJax

Gaussian processes in JAX and Flax.

Language: Python - Size: 279 MB - Last synced at: 3 days ago - Pushed at: 7 days ago - Stars: 500 - Forks: 61

AshrithSagar/MultiRefLfD-TPGP

Learning Multi-Reference Frame Skills from Demonstration with Task-Parameterized Gaussian Processes (TPGP)

Language: Python - Size: 37.1 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 0

TobyBoyne/bark

Jointly-trained tree kernels for Gaussian processes

Language: Python - Size: 83.9 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 3 - Forks: 0

d2l-ai/d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Language: Python - Size: 303 MB - Last synced at: 5 days ago - Pushed at: 8 months ago - Stars: 25,569 - Forks: 4,594

nrontsis/PILCO

Bayesian Reinforcement Learning in Tensorflow

Language: Python - Size: 572 KB - Last synced at: 2 days ago - Pushed at: about 4 years ago - Stars: 321 - Forks: 83

relf/egobox

Efficient global optimization toolbox in Rust: bayesian optimization, mixture of gaussian processes, sampling methods

Language: Rust - Size: 12.2 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 100 - Forks: 6

theogf/AugmentedGaussianProcesses.jl

Gaussian Process package based on data augmentation, sparsity and natural gradients

Language: Julia - Size: 403 MB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 137 - Forks: 9

epiforecasts/EpiNow2

Estimate Realtime Case Counts and Time-varying Epidemiological Parameters

Language: R - Size: 95.8 MB - Last synced at: 8 days ago - Pushed at: 12 days ago - Stars: 126 - Forks: 36

dfm/celerite

Scalable 1D Gaussian Processes in C++, Python, and Julia

Language: C++ - Size: 239 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 183 - Forks: 35

ARM-software/mango

Parallel Hyperparameter Tuning in Python

Language: Jupyter Notebook - Size: 54.6 MB - Last synced at: 7 days ago - Pushed at: about 2 months ago - Stars: 413 - Forks: 47

redmod-team/profit

Probabilistic Response mOdel Fitting with Interactive Tools

Language: Python - Size: 3.71 MB - Last synced at: 8 days ago - Pushed at: 3 months ago - Stars: 15 - Forks: 10

syrte/robustgp

Robust Gaussian Process with Iterative Trimming

Language: Jupyter Notebook - Size: 910 KB - Last synced at: about 2 hours ago - Pushed at: almost 4 years ago - Stars: 23 - Forks: 5

jgosmann/goppy

Gaussian Online Processes for Python

Language: Python - Size: 669 KB - Last synced at: 8 days ago - Pushed at: 4 months ago - Stars: 17 - Forks: 1

gpstuff-dev/gpstuff

GPstuff - Gaussian process models for Bayesian analysis

Language: MATLAB - Size: 67.2 MB - Last synced at: 9 days ago - Pushed at: over 2 years ago - Stars: 174 - Forks: 61

JonasTurnwald/fredipy

Inverting Fredholm integral equations using Gaussian Processes

Language: Python - Size: 1.76 MB - Last synced at: 9 days ago - Pushed at: 10 days ago - Stars: 6 - Forks: 0

MLBazaar/BTB

A simple, extensible library for developing AutoML systems

Language: Python - Size: 16.3 MB - Last synced at: 3 days ago - Pushed at: over 1 year ago - Stars: 175 - Forks: 41

Maximal-K/Paper_Review_Wu18_CL

Reproduce the figures concerning a paper. A website concerning the parper is attached below.

Language: MATLAB - Size: 5.86 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

krasserm/bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

Language: Jupyter Notebook - Size: 27.2 MB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 1,854 - Forks: 470

m-clark/Miscellaneous-R-Code

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.

Language: R - Size: 11.2 MB - Last synced at: 8 days ago - Pushed at: over 4 years ago - Stars: 196 - Forks: 82

ohirose/bcpd

Bayesian Coherent Point Drift / Domain Elastic Transform

Language: C - Size: 14.5 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 309 - Forks: 38

FilippoAiraldi/learning-safety-in-mpc-based-rl

Safety-aware MPC-based RL framework

Language: Python - Size: 1.65 GB - Last synced at: 8 days ago - Pushed at: 5 months ago - Stars: 58 - Forks: 8

ddbourgin/numpy-ml

Machine learning, in numpy

Language: Python - Size: 10 MB - Last synced at: 12 days ago - Pushed at: over 1 year ago - Stars: 16,044 - Forks: 3,796

GeoscienceAustralia/HiQGA.jl

High Quality Geophysical Analysis provides a general purpose Bayesian and deterministic inversion framework for various geophysical methods and spatially distributed / timeseries data

Language: Julia - Size: 88.4 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 40 - Forks: 6

JuliaGaussianProcesses/AbstractGPs.jl

Abstract types and methods for Gaussian Processes.

Language: Julia - Size: 81 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 252 - Forks: 23

Weizhe-Chen/PyPolo

A Python library for Robotic Information Gathering

Language: Python - Size: 34.3 MB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 43 - Forks: 5

dfm/george

Fast and flexible Gaussian Process regression in Python

Language: C++ - Size: 36.4 MB - Last synced at: 10 days ago - Pushed at: 14 days ago - Stars: 456 - Forks: 127

resibots/limbo

A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++11)

Language: C++ - Size: 85.6 MB - Last synced at: 6 days ago - Pushed at: over 1 year ago - Stars: 249 - Forks: 57

cheind/rgbd-correction

Code and data accompanying our work on spatio-thermal depth correction of RGB-D sensors based on Gaussian Process Regression in real-time.

Language: Python - Size: 2.33 MB - Last synced at: 7 days ago - Pushed at: almost 3 years ago - Stars: 17 - Forks: 5

DAVIDDAIJUNCHEN/Shape-Transfer-Bayesian-Optimization

This project aims to implement Shape Transfer Bayesian Optimization, and compare it with other existing transfer Bayesian Optimization Methods.

Language: Python - Size: 90 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0

JoesCat/gimp-refocus-it

gimp refocus-it plugin, copied from sourceforge (with added patches and updates to build with gimp-2.10).

Language: C - Size: 401 KB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

dme65/pySOT

Surrogate Optimization Toolbox for Python

Language: Jupyter Notebook - Size: 8.28 MB - Last synced at: 15 days ago - Pushed at: over 3 years ago - Stars: 208 - Forks: 53

JuliaGaussianProcesses/Stheno.jl

Probabilistic Programming with Gaussian processes in Julia

Language: Julia - Size: 294 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 343 - Forks: 26

JuliaGaussianProcesses/TemporalGPs.jl

Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html

Language: Julia - Size: 3.68 MB - Last synced at: 16 days ago - Pushed at: 19 days ago - Stars: 119 - Forks: 5

mingdeyu/dgpsi-R

R interface to 'dgpsi' for deep and linked Gaussian process emulations

Language: HTML - Size: 15.8 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 3

settylab/Mellon

Non-parametric density inference for single-cell analysis.

Language: Jupyter Notebook - Size: 20.4 MB - Last synced at: 8 days ago - Pushed at: about 1 month ago - Stars: 68 - Forks: 4

khoakomlem/fingerprint-recognition-ui

Website demonstrate fingerprint recognition

Language: TypeScript - Size: 176 KB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

exoplanet-dev/exoplanet

Fast & scalable MCMC for all your exoplanet needs!

Language: Python - Size: 14.8 MB - Last synced at: 6 days ago - Pushed at: 13 days ago - Stars: 215 - Forks: 53

sam-harri/GaussianPI

Bayesian Optimization of PI controllers using MatLab simulations of the process

Language: Python - Size: 739 KB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 1 - Forks: 0

marvinpfoertner/linpde-gp

Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"

Language: Python - Size: 5.63 MB - Last synced at: 9 days ago - Pushed at: 12 months ago - Stars: 25 - Forks: 4

benman1/time-series

Time-Series models for multivariate and multistep forecasting, regression, and classification

Language: Python - Size: 1.76 MB - Last synced at: 6 days ago - Pushed at: over 3 years ago - Stars: 62 - Forks: 13

st--/interactive-gp-visualization

Interactive visualization of Gaussian processes

Language: Svelte - Size: 190 KB - Last synced at: 12 days ago - Pushed at: about 2 years ago - Stars: 167 - Forks: 23

soldasim/BOSS.jl

BOSS (Bayesian Optimization with Semiparametric Surrogate)

Language: Julia - Size: 2.77 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 4 - Forks: 1

ywx649999311/EzTao

A Python Toolkit for AGN Time Series Analysis using CARMA models

Language: Python - Size: 11.6 MB - Last synced at: 20 days ago - Pushed at: 7 months ago - Stars: 19 - Forks: 9

GeoStat-Framework/PyKrige

Kriging Toolkit for Python

Language: Python - Size: 1.3 MB - Last synced at: 16 days ago - Pushed at: 8 months ago - Stars: 806 - Forks: 192

activatedgeek/simplex-gp

Lattice kernels for scalable Gaussian processes in GPyTorch (Simplex-GPs)

Language: Jupyter Notebook - Size: 1.18 MB - Last synced at: 9 days ago - Pushed at: almost 4 years ago - Stars: 10 - Forks: 2

elizavetasemenova/prob-epi

Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"

Language: Jupyter Notebook - Size: 24.6 MB - Last synced at: 9 days ago - Pushed at: about 2 months ago - Stars: 61 - Forks: 24

mlefkir/Pioran.jl

Power spectrum inference of irregularly sampled time series using Gaussian Processes in Julia

Language: Julia - Size: 72 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 13 - Forks: 0

Piras-S/OceanAnalysisProcess

This project models expected temperature drop across the ocean's cool skin layer behavior from meteorological inputs, then compares predictions to 2021 satellite data to identify anomalies. Includes uncertainty quantification and spatial-temporal analysis.

Language: Jupyter Notebook - Size: 954 KB - Last synced at: 16 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

befelix/SafeOpt

Safe Bayesian Optimization

Language: Python - Size: 317 KB - Last synced at: 11 days ago - Pushed at: over 2 years ago - Stars: 146 - Forks: 54

jecampagne/cours_mallat_cdf

Lecture notes of Professor Stéphane Mallat - Collège de France - Paris

Language: Jupyter Notebook - Size: 192 MB - Last synced at: 9 days ago - Pushed at: 26 days ago - Stars: 23 - Forks: 0

SaveChris/Inf-Imb-for-EUA23

A collection of Jupyter notebooks for inference on Imbalance in the EU ETS: a non-parametric approach - C. Salvagnin, A. Glielmo, M.E. De Giuli, A. Mira

Language: Jupyter Notebook - Size: 95.1 MB - Last synced at: 2 days ago - Pushed at: 25 days ago - Stars: 1 - Forks: 0

rodluger/starry_process

interpretable gaussian processes for stellar light curves

Language: Python - Size: 130 MB - Last synced at: 6 days ago - Pushed at: 8 months ago - Stars: 17 - Forks: 5

lsorber/neo-ls-svm

Neo LS-SVM is a modern Least-Squares Support Vector Machine implementation

Language: Python - Size: 321 KB - Last synced at: 16 days ago - Pushed at: about 1 year ago - Stars: 32 - Forks: 3

transientlunatic/heron

Heron is a surrogate modelling toolkit for python, using Gaussian process regression.

Language: Python - Size: 52.6 MB - Last synced at: 18 days ago - Pushed at: 26 days ago - Stars: 3 - Forks: 1

itskalvik/sgp-tools

Software Suite for Sensor Placement and Informative Path Planning

Language: Python - Size: 35.3 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 11 - Forks: 1

tiskw/random-fourier-features

Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model

Language: Python - Size: 4.2 MB - Last synced at: 16 days ago - Pushed at: 6 months ago - Stars: 100 - Forks: 22

acerbilab/vbmc

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

Language: MATLAB - Size: 24.6 MB - Last synced at: 11 days ago - Pushed at: almost 2 years ago - Stars: 222 - Forks: 42

Eric-Bradford/TS-EMO

This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).

Language: MATLAB - Size: 1.83 MB - Last synced at: 17 days ago - Pushed at: almost 5 years ago - Stars: 100 - Forks: 14

JuliaGaussianProcesses/KernelFunctions.jl

Julia package for kernel functions for machine learning

Language: Julia - Size: 28.3 MB - Last synced at: 25 days ago - Pushed at: about 2 months ago - Stars: 270 - Forks: 35

jrvansuita/GaussianBlur

🎩 An easy and fast library to apply gaussian blur filter on any images.

Language: Java - Size: 18.3 MB - Last synced at: 15 days ago - Pushed at: almost 3 years ago - Stars: 510 - Forks: 88

befelix/safe_learning

Safe reinforcement learning with stability guarantees

Language: Python - Size: 1.03 MB - Last synced at: 11 days ago - Pushed at: about 3 years ago - Stars: 232 - Forks: 65

amirhajibabaei/AutoForce

Sparse Gaussian Process Potentials

Language: Python - Size: 1.68 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 27 - Forks: 13

ArthurLeroy/MagmaClustR

Clustering and Predictions with Multi-Task Gaussian Processes

Language: R - Size: 739 MB - Last synced at: 7 days ago - Pushed at: 4 months ago - Stars: 16 - Forks: 7

lbl-camera/fvGP

A software package for flexible HPC GPs

Language: Python - Size: 28 MB - Last synced at: 6 days ago - Pushed at: about 2 months ago - Stars: 16 - Forks: 4

jakobdambon/varycoef

The R package varycoef implements Gaussian processes spatially varying coefficient models.

Language: R - Size: 3.34 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 11 - Forks: 2

Eric-Bradford/SDD-GP-MPC

This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).

Language: Python - Size: 18.4 MB - Last synced at: 17 days ago - Pushed at: about 2 years ago - Stars: 50 - Forks: 6

michaelosthege/pyrff

pyrff: Python implementation of random fourier feature approximations for gaussian processes

Language: Jupyter Notebook - Size: 68.5 MB - Last synced at: 9 days ago - Pushed at: about 1 month ago - Stars: 28 - Forks: 2

rnburn/bbai

Deterministic algorithms for objective Bayesian inference and hyperparameter optimization

Language: Python - Size: 1.13 GB - Last synced at: 18 days ago - Pushed at: about 1 month ago - Stars: 62 - Forks: 2

onnela-lab/gptools

Gaussian processes on graphs and lattices in Stan.

Language: Python - Size: 917 KB - Last synced at: 8 days ago - Pushed at: about 1 month ago - Stars: 16 - Forks: 0

m-clark/models-by-example

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

Language: R - Size: 26.2 MB - Last synced at: 21 days ago - Pushed at: about 4 years ago - Stars: 67 - Forks: 18

hse-cs/fulu

Fulu is a python library of supernova light curves approximation methods based on machine learning.

Language: Jupyter Notebook - Size: 19.5 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 25 - Forks: 2

SepKfr/Coarse-and-Fine-Grained-Forecasting-Via-GP-Blurring-Effect

Forecast-blur-denoise forecasting model with PyTorch

Language: Python - Size: 787 KB - Last synced at: 7 days ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

nestordemeure/friedrich

A Rust implementation of Gaussian Process regression.

Language: Rust - Size: 260 KB - Last synced at: 24 days ago - Pushed at: over 1 year ago - Stars: 57 - Forks: 12

gradientinstitute/aboleth

A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation

Language: Python - Size: 4.39 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 128 - Forks: 10

LC-Linkous/bayesian_optimization_python

Repository for Bayesian Optimization with a Gaussian Process surrogate model in python

Language: Python - Size: 208 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

jdavidrcamacho/tedi

Analysis of radial velocity measurements using Gaussian and Student-t processes

Language: Python - Size: 12.8 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 4 - Forks: 0

dorythecat/Matrinator

A really silly matrix-inversion (and technically more) program :3

Language: C++ - Size: 139 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

JuliaGaussianProcesses/GPLikelihoods.jl

Provides likelihood functions for Gaussian Processes.

Language: Julia - Size: 751 KB - Last synced at: 24 days ago - Pushed at: 9 months ago - Stars: 43 - Forks: 5

uber-research/vargp

Variational Auto-Regressive Gaussian Processes for Continual Learning

Language: Python - Size: 1.89 MB - Last synced at: 9 days ago - Pushed at: almost 4 years ago - Stars: 21 - Forks: 4

ssydasheng/FBNN

Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)

Language: Python - Size: 12.8 MB - Last synced at: 15 days ago - Pushed at: almost 5 years ago - Stars: 82 - Forks: 10

JohnGoertz/Gumbi

Gaussian Process Model Building Interface

Language: Python - Size: 19 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 50 - Forks: 1

TheoBourdais/ComputationalHypergraphDiscovery

This is the source code for the paper "Computational Hypergraph Discovery: A Gaussian process framework for connecting the dots".

Language: Python - Size: 373 MB - Last synced at: 9 days ago - Pushed at: about 1 month ago - Stars: 7 - Forks: 2

jomorlier/IA_CNRS_ICA

Notebooks and Data for ICA's course on IA

Language: Jupyter Notebook - Size: 39 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 9 - Forks: 3

andreacasalino/GaussianProcesses

Modern C++ library handling gaussian processes

Language: C++ - Size: 3.91 MB - Last synced at: 7 days ago - Pushed at: over 2 years ago - Stars: 17 - Forks: 2

ziatdinovmax/gpax

Gaussian Processes for Experimental Sciences

Language: Python - Size: 53.3 MB - Last synced at: 12 days ago - Pushed at: 6 months ago - Stars: 221 - Forks: 29

krlennon/mastercurves

Python package for automatically superimposing data sets to create a master curve, using Gaussian process regression and maximum a posteriori estimation.

Language: Python - Size: 1.89 MB - Last synced at: 9 days ago - Pushed at: about 2 years ago - Stars: 12 - Forks: 2

rahulkhorana/PolyatomicComplexes

Representations of atomistic systems.

Language: Python - Size: 94.3 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 3 - Forks: 0

swift-nav/albatross

A framework for statistical modelling in C++.

Language: C++ - Size: 8.77 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 23 - Forks: 5

hilo-mpc/hilo-mpc

HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems

Language: Python - Size: 5.93 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 172 - Forks: 35

Ornella-Gigante/Cardiovascular-Disease-Prediction-Project

This ML project predicts cardiovascular diseases using clinical data (blood pressure, cholesterol, heart rate). Implemented Decision Tree (71.15%) and Gaussian Naive Bayes (70.49%) models on 13 medical features.

Language: Jupyter Notebook - Size: 54.7 KB - Last synced at: 2 days ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

charlesll/gpvisc

Gaussian Process - Artificial Neural Network modelling of magma viscosity.

Language: Jupyter Notebook - Size: 35.6 MB - Last synced at: 10 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

Related Keywords
gaussian-processes 775 machine-learning 239 bayesian-optimization 93 bayesian-inference 81 python 80 regression 47 deep-learning 46 pytorch 37 gaussian-process-regression 36 variational-inference 36 optimization 34 reinforcement-learning 28 tensorflow 28 time-series 28 bayesian 22 neural-network 21 hyperparameter-optimization 20 classification 20 gpytorch 19 active-learning 19 julia 18 bayesian-statistics 17 r 17 stochastic-processes 17 neural-networks 17 uncertainty-quantification 16 kernel-methods 16 statistics 16 gpflow 15 matlab 15 data-science 15 deep-neural-networks 14 robotics 14 mcmc 14 bayesian-methods 14 probabilistic-programming 14 jax 14 astronomy 13 linear-regression 13 gaussian-mixture-models 13 logistic-regression 12 python3 11 bayesian-neural-networks 10 kalman-filter 10 variational-autoencoder 10 kernel 10 kernels 10 kriging 9 surrogate-models 9 sparse-gaussian-processes 9 artificial-intelligence 9 deep-kernel-learning 8 random-forest 8 gradient-descent 8 covariance 8 decision-trees 8 stan 8 cpp 8 gaussian 8 support-vector-machines 8 convolutional-neural-networks 7 trajectory-optimization 7 clustering 7 sklearn 7 data-analysis 7 hyperparameter-tuning 7 gpy 7 geostatistics 7 model-predictive-control 7 uncertainty 7 transfer-learning 7 astrophysics 7 scikit-learn 7 pca 7 mixture-model 7 probabilistic-models 7 lstm 6 exoplanets 6 monte-carlo 6 black-box-optimization 6 approximate-inference 6 deep-gaussian-processes 6 machine-learning-algorithms 6 variogram 6 online-learning 6 stochastic-differential-equations 6 causal-inference 6 fft 6 svm 6 multi-task-learning 6 image-processing 6 mixture-of-experts 6 bayesian-machine-learning 6 keras 6 chemistry 5 natural-language-processing 5 spatial-statistics 5 interpolation 5 tutorial 5 sampling 5