Reverse Dependencies of GPy

The following projects have a declared dependency on GPy:

• aalto-boss — Bayesian optimization structure search
• adversarial-robustness-toolbox — Toolbox for adversarial machine learning.
• asbe — Active Learning for treatment effect estimation
• bopt — Bayesian Optimization
• CAMD — camd is software designed to support autonomous materials research and sequential learning
• cmgp — Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes
• comet-emu — COMET - Cosmological Observables Modelled by Emulated perturbation Theory.
• csle-agents — Reinforcement learning agents for CSLE
• CWGP — CWGP
• doframework — A testing framework for decision optimization model learning algorithms.
• elfi — ELFI - Engine for Likelihood-free Inference
• emukit — Toolkit for decision making under uncertainty.
• fusets — Time Series Fusion toolbox integrated with openEO
• ggtools — A package to handle the GRACE and GRACE-FO GSM data and GLDAS grid data
• gpforecast — Time series forecasting with Gaussian Processes
• GPy-ABCD — Basic implementation with GPy of an Automatic Bayesian Covariance Discovery (ABCD) system
• hans — Height-Averaged Navier-Stokes (HANS) solver for 2D lubrication problems
• HEBO — Heteroscedastic evolutionary bayesian optimisation
• HEBO-mindspore — Heteroscedastic evolutionary bayesian optimisation
• hypermapper — HyperMapper is a multi-objective black-box optimization tool based on Bayesian Optimization.
• HyperSweeper — Hydra sweeper integration of our favorite optimization packages, utilizing ask-and-tell interfaces.
• hypertunity — A toolset for distributed black-box hyperparameter optimisation.
• idptools-parrot — no summary
• IntelliMaint — A prognostics package by IntelliPredikt Technologies
• iscan-dag — Implementation of the iSCAN algorithm for detecting distribution shifts
• itwinai — AI and ML workflows module for scientific digital twins.
• kulgap — no summary
• laos-boats — Bayesian Optimization Structure Search
• lc-classifier — ALeRCE light curve classifier
• lgrt4gps — Locally growing random trees for Gaussian processes
• mogp — Mixture of Gaussian Processes Model for Sparse Longitudinal Data
• nenucal — Calibration pipeline for the NenuFAR Cosmic Dawn project
• nheri-simcenter — NHERI SimCenter Python Dependencies
• openmodelica-microgrid-gym — OpenModelica Microgrid Gym
• OptiMOBO — Solve multi-objective problems using Bayesian optimisation.
• peslearn — Automated Construction of Machine Learning Models of Molecular Potential Energy Surfaces.
• polire — A collection of interpolation methods.
• profit — Probabilistic response model fitting with interactive tools
• propulate — Massively parallel genetic optimization through asynchronous propagation of populations
• ps-eor — Foreground modeling/removal and Power Spectra generation
• pspipe — Power spectra pipeline for Cosmic Dawn, Epoch of Reionization radio interferometric experiments
• pyepal — PyePAL implemented the epsilon-PAL active learning algorithm
• PyRKHSstats — A Python package for kernel methods in Statistics/ML.
• pyrobolearn — A Python framework for roboticists and machine learning practitioners
• quant1x — Quant1X量化交易框架
• RMCgp — RMC for stochastic control.
• robustgp — Robust Gaussian process regression based on iterative trimming.
• safeopt — Safe Bayesian optimization
• starmatch — A package to handle the Star chart matching and astrometric positioning
• summit — Tools for optimizing chemical processes
• syne-tune — Distributed Hyperparameter Optimization on SageMaker
• TL-GPRSM — TL-GPRSM: Tlansfer Learning Gaussian Process Regression Surrogate Model
• verifai — A toolkit for the formal design and analysis of systems that include artificial intelligence (AI) and machine learning (ML) components.
• waggon — WAsserstein Global Gradient-free OptimisatioN (WAGGON) methods library.