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
• SergeiVKalinin / UTK-Spring-2023---Automated-Experiment
  Spring 2023 seminar on automated experiment
  ☆23Updated last year
• ziatdinovmax / AugmentedGaussianProcess
  Gaussian process augmented with a probabilistic model of expected system's behavior
  ☆13Updated 2 years ago
• Ryan-Rhys / Heteroscedastic-BO
  Heteroscedastic Bayesian Optimisation in Numpy
  ☆21Updated last year
• briandesilva / discovery-of-physics-from-data
  Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"
  ☆26Updated 4 years ago
• ziatdinovmax / pyroVED
  Invariant representation learning from imaging and spectral data
  ☆48Updated last year
• PV-Lab / autoXRD
  Automatic XRD classification for thin-film materials using CNNs, Class Activation Maps and Data Augmentation
  ☆50Updated 4 years ago
• PV-Lab / Benchmarking
  Benchmarking
  ☆26Updated 3 years ago
• SergeiVKalinin / MSE_Spring2024
  The materials for the Spring Mathematics in Materials course at the UTK MSE
  ☆48Updated 8 months ago
• nmerovingian / PINN-CV
  Using PINN to predict cyclic voltammetry with knowledge of only boundary condition and diffusion law
  ☆15Updated last year
• agayonlombardo / pores4thought
  ☆23Updated 4 years ago
• SergeiVKalinin / ACerS_AE_2024
  Materials for ACerS Automated Experiment Course
  ☆20Updated 9 months ago
• aspuru-guzik-group / gemini
  scalable multi-fidelity machine learning
  ☆9Updated 3 years ago
• zavalab / ML
  ☆82Updated last month
• KanHatakeyama / Integrating-multiple-materials-science-projects
  ☆14Updated 2 years ago
• saimani5 / VAE-tutorials
  ☆39Updated last year
• MaterialEyes / Plot2Spec
  an automatic plot digitizer for spectroscopy images (i.e. XANES and Raman)
  ☆31Updated 2 years ago
• argonne-lcf / AI4ScienceTutorial
  A tutorial for students that surveys basic ML techniques in ipython notebook format.
  ☆23Updated 5 years ago
• rajak7 / Bayesian_Optimization_Material_design
  Accelerated Design of Layered Materials with Bayesian Optimization
  ☆17Updated 6 years ago
• LironSimon / SciMED
  A computational framework for finding symbolic expressions from physical datasets.
  ☆57Updated last year
• IdahoLabResearch / BIhNNs
  The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural …
  ☆14Updated 2 years ago
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆28Updated 7 months ago
• ulissigroup / uncertainty_benchmarking
  Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.
  ☆41Updated 3 years ago
• shib0li / DNN-MFBO
  Multi-fidelity Bayesian Optimization via Deep Neural Nets
  ☆29Updated 4 years ago
• kjappelbaum / pyepal
  Multiobjective active learning with tunable accuracy/efficiency tradeoff and clear stopping criterion.
  ☆38Updated this week
• weili101 / Phase-Field_DeepONet
  ☆13Updated 9 months ago
• piyushtagade / SLAMDUNCS
  A deep learning Bayesian framework for attribute driven inverse materials design
  ☆14Updated 4 years ago
• Bostanabad-Research-Group / GP-for-pde-solving
  ☆15Updated 3 months ago
• DENG-MIT / Stiff-PINN
  Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics
  ☆55Updated 2 years ago