Scientific Software
Updated 9 months ago

exoplanet — Peer-reviewed • Rank 15.7 • Science 100%

exoplanet: Gradient-based probabilistic inference for exoplanet data & other astronomical time series - Published in JOSS (2021)

Scientific Software
Updated 9 months ago

egobox, a Rust toolbox for efficient global optimization — Peer-reviewed • Rank 19.1 • Science 93%

egobox, a Rust toolbox for efficient global optimization - Published in JOSS (2022)

Scientific Software
Updated 9 months ago

AutoEmulate — Peer-reviewed • Rank 13.0 • Science 98%

AutoEmulate: A Python package for semi-automated emulation - Published in JOSS (2025)

Scientific Software
Updated 9 months ago

PyVBMC — Peer-reviewed • Rank 11.1 • Science 98%

PyVBMC: Efficient Bayesian inference in Python - Published in JOSS (2023)

Scientific Software
Updated 9 months ago

approxposterior — Peer-reviewed • Rank 9.8 • Science 95%

approxposterior: Approximate Posterior Distributions in Python - Published in JOSS (2018)

Engineering Computer Science (40%)
Scientific Software · Peer-reviewed
Scientific Software
Updated 9 months ago

starry_process — Peer-reviewed • Rank 8.0 • Science 93%

starry_process: Interpretable Gaussian processes for stellar light curves - Published in JOSS (2021)

Mathematics
Scientific Software · Peer-reviewed
Scientific Software
Updated 9 months ago

kima — Peer-reviewed • Rank 4.9 • Science 95%

kima: Exoplanet detection in radial velocities - Published in JOSS (2018)

Mathematics
Scientific Software · Peer-reviewed
Scientific Software
Updated 9 months ago

GPJax — Peer-reviewed • Rank 17.6 • Science 77%

GPJax: A Gaussian Process Framework in JAX - Published in JOSS (2022)

Mathematics Earth and Environmental Sciences
Scientific Software · Peer-reviewed
Updated 9 months ago

epinow2 • Rank 8.6 • Science 77%

Estimate Realtime Case Counts and Time-varying Epidemiological Parameters

Updated 9 months ago

celerite • Rank 16.1 • Science 59%

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

Updated 9 months ago

prob-epi • Rank 7.1 • Science 67%

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

Updated 9 months ago

mastercurves • Rank 8.2 • Science 54%

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

Updated 9 months ago

stk • Rank 6.1 • Science 54%

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.

Updated 9 months ago

MagmaClustR • Rank 9.6 • Science 39%

Clustering and Predictions with Multi-Task Gaussian Processes

Updated 9 months ago

https://github.com/ywx649999311/eztao • Rank 10.1 • Science 36%

A Python Toolkit for AGN Time Series Analysis using CARMA models

Updated 9 months ago

https://github.com/juliagaussianprocesses/temporalgps.jl • Rank 8.3 • Science 36%

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

Updated 9 months ago

spectralcov-gp-mtgp • Rank 2.7 • Science 41%

Gaussian Processes for Vegetation Parameter Estimation from Hyperspectral Data with Limited Ground Truth

Updated 9 months ago

varycoef • Rank 14.8 • Science 13%

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

Updated 9 months ago

https://github.com/alan-turing-institute/mogp-emulator • Rank 13.9 • Science 10%

Package for fitting Gaussian Process Emulators to multiple output computer simulation results.

Updated 9 months ago

lgpr • Rank 9.9 • Science 13%

R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for inferring covariate effects and assessing covariate relevances. Various models can be specified using a convenient formula syntax.

Updated 9 months ago

https://github.com/biaslab/ccta2024-bidconvection • Rank 0.0 • Science 13%

Experiments for CCTA 2024 submission on fast Bayesian gray-box identification of convection in heat transfer dynamics.

Updated 9 months ago

gptools • Science 44%

Gaussian processes on graphs and lattices in Stan and pytorch.

Updated 9 months ago

vswim • Science 54%

a virtual solar wind monitor (vSWIM) for Mars with Gaussian processes

Updated 9 months ago

https://github.com/cheind/rgbd-correction • Science 10%

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

Scientific Software
Updated 9 months ago

Limbo — Peer-reviewed • Science 95%

Limbo: A Flexible High-performance Library for Gaussian Processes modeling and Data-Efficient Optimization - Published in JOSS (2018)

Updated 9 months ago

augmentedgaussianprocesses.jl • Science 64%

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

Updated 9 months ago

dgpsi • Science 59%

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

Updated 9 months ago

https://github.com/charlesll/gpvisc • Science 36%

Gaussian Process - Artificial Neural Network modelling of magma viscosity.

Updated 9 months ago

https://github.com/mlefkir/pioran.jl • Science 44%

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

Updated 9 months ago

https://github.com/aaltoml/t-svgp • Science 10%

Codes for 'Dual Parameterization of Sparse Variational Gaussian Processes' (NeurIPS 2021)

Updated 9 months ago

med • Science 39%

Autonomously driving equation discovery, from the micro to the macro, from laptops to supercomputers.

Updated 9 months ago

https://github.com/bandframework/surmise • Science 26%

A python package for surrogate models that interface with calibration and other tools

Updated 9 months ago

https://github.com/aaltoml/nonstationary-audio-gp • Science 10%

End-to-End Probabilistic Inference for Nonstationary Audio Analysis

Updated 9 months ago

https://github.com/aaltoml/kalman-jax • Science 10%

Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX

Updated 9 months ago

https://github.com/aaltoml/sfr • Science 10%

PyTorch implementation of Sparse Function-space Representation of Neural Networks

Updated 9 months ago

https://github.com/cyberagentailab/preferentialbo • Science 23%

(ICML2023) Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes

Updated 9 months ago

https://github.com/aaltoml/improved-hyperparameter-learning • Science 10%

Codes for 'Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models' (ICML 2023)

Updated 9 months ago

https://github.com/aaltoml/spatio-temporal-gps • Science 23%

Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'

Updated 9 months ago

https://github.com/aaltoml/boundary-gp • Science 10%

Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features

Updated 9 months ago

https://github.com/acerbilab/vbmc • Science 20%

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

Updated 9 months ago

mellon • Science 67%

Non-parametric density inference for single-cell analysis.

Updated 9 months ago

gptools-stan • Science 57%

Gaussian processes on graphs and lattices in Stan.

Updated 9 months ago

cocons • Science 36%

R package for nonstationary spatial modeling with covariate-based covariance functions

Updated 9 months ago

https://github.com/aaltoml/sfr-experiments • Science 23%

Code accompanying ICLR 2024 paper "Function-space Parameterization of Neural Networks for Sequential Learning"

Updated 9 months ago

https://github.com/aaltoml/hilbert-gp • Science 10%

Codes for Hilbert space reduced-rank GP regression

Updated 9 months ago

pye-plus • Science 57%

Multi-Criteria Decision Making (MCDM) Framework for Building Energy Systems with Expedited Computation using Machine Learning (ML) Techniques

Updated 9 months ago

linpde-gp • Science 67%

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

Updated 9 months ago

https://github.com/aaltoml/gp-mvs • Science 10%

Multi-View Stereo by Temporal Nonparametric Fusion

Updated 9 months ago

fredipy • Science 67%

Inverting Fredholm integral equations using Gaussian Processes

Updated 9 months ago

https://github.com/ashrithsagar/multireflfd-tpgp • Science 39%

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