Alternatives and similar repositories for BayesProcess:

Users that are interested in BayesProcess are comparing it to the libraries listed below

• ClancyLab / NCM2018
  ☆18Updated 4 years ago
• ulissigroup / uncertainty_benchmarking
  Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.
  ☆41Updated 3 years ago
• Ryan-Rhys / Heteroscedastic-BO
  Heteroscedastic Bayesian Optimisation in Numpy
  ☆21Updated 2 years ago
• PV-Lab / autoXRD
  Automatic XRD classification for thin-film materials using CNNs, Class Activation Maps and Data Augmentation
  ☆49Updated 5 years ago
• ziatdinovmax / AugmentedGaussianProcess
  Gaussian process augmented with a probabilistic model of expected system's behavior
  ☆14Updated 3 years ago
• ma921 / SOBER
  Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration
  ☆24Updated last month
• aspuru-guzik-group / gemini
  scalable multi-fidelity machine learning
  ☆9Updated 3 years ago
• SergeiVKalinin / UTK-Spring-2023---Automated-Experiment
  Spring 2023 seminar on automated experiment
  ☆23Updated last year
• PV-Lab / Benchmarking
  Benchmarking
  ☆27Updated 3 years ago
• zavalab / ML
  ☆83Updated last month
• zavalab / Tutorials
  ☆25Updated 2 months ago
• SergeiVKalinin / ACerS_AE_2024
  Materials for ACerS Automated Experiment Course
  ☆20Updated 11 months ago
• briandesilva / discovery-of-physics-from-data
  Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"
  ☆27Updated 4 years ago
• ma921 / BASQ
  (NeurIPS 2022) Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination
  ☆19Updated last year
• SergeiVKalinin / MSE_Spring2024
  The materials for the Spring Mathematics in Materials course at the UTK MSE
  ☆49Updated 10 months ago
• lamalab-org / pyepal
  Multiobjective active learning with tunable accuracy/efficiency tradeoff and clear stopping criterion.
  ☆40Updated 2 weeks ago
• agayonlombardo / pores4thought
  ☆24Updated 4 years ago
• nmerovingian / PINN-CV
  Using PINN to predict cyclic voltammetry with knowledge of only boundary condition and diffusion law
  ☆17Updated 3 weeks ago
• shib0li / DNN-MFBO
  Multi-fidelity Bayesian Optimization via Deep Neural Nets
  ☆29Updated 4 years ago
• ziatdinovmax / GPim
  Gaussian processes and Bayesian optimization for images and hyperspectral data
  ☆57Updated last year
• cog-imperial / SnAKe
  Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".
  ☆16Updated last year
• ziatdinovmax / pyroVED
  Invariant representation learning from imaging and spectral data
  ☆50Updated last year
• aspuru-guzik-group / olympus
  Olympus: a benchmarking framework for noisy optimization and experiment planning
  ☆85Updated 4 months ago
• Battery-Intelligence-Lab / BayesianModelSelection
  Repository for the paper "Bayesian Model Selection of Lithium-Ion Battery Models via Bayesian Quadrature"
  ☆12Updated last year
• saimani5 / VAE-tutorials
  ☆39Updated last year
• argonne-lcf / AI4ScienceTutorial
  A tutorial for students that surveys basic ML techniques in ipython notebook format.
  ☆24Updated 5 years ago
• rajak7 / Bayesian_Optimization_Material_design
  Accelerated Design of Layered Materials with Bayesian Optimization
  ☆18Updated 6 years ago
• ilijabogunovic / Robust-BO
  List of papers on robust Bayesian optimization
  ☆17Updated 3 years ago
• CitrineInformatics / lolo
  A random forest
  ☆41Updated last month
• ziatdinovmax / gpax
  Gaussian Processes for Experimental Sciences
  ☆221Updated 5 months ago