Alternatives and similar repositories for AugmentedGaussianProcess

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

• ziatdinovmax / gpax
  Gaussian Processes for Experimental Sciences
  ☆227Updated last month
• saimani5 / VAE-tutorials
  ☆40Updated last year
• SergeiVKalinin / UTK-Spring-2023---Automated-Experiment
  Spring 2023 seminar on automated experiment
  ☆23Updated 2 years ago
• SergeiVKalinin / MSE_Spring2024
  The materials for the Spring Mathematics in Materials course at the UTK MSE
  ☆49Updated last year
• PV-Lab / ZoMBI
  Zooming Memory Based Initialization (ZoMBI) algorithm for discovery of optima within challenging needle-in-a-haystack (extreme data imbal…
  ☆17Updated last year
• PV-Lab / Benchmarking
  Benchmarking
  ☆30Updated 3 years ago
• ziatdinovmax / pyroVED
  Invariant representation learning from imaging and spectral data
  ☆51Updated last year
• ma921 / SOBER
  Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration
  ☆28Updated 2 months ago
• materials-data-facility / publishing-battery-data
  Illustrating how to publish battery data
  ☆13Updated 2 months ago
• zavalab / Tutorials
  ☆26Updated 6 months ago
• SergeiVKalinin / ACerS_AE_2024
  Materials for ACerS Automated Experiment Course
  ☆20Updated last year
• PinwenGuan / JAX-TherMo
  A demo code for implementation of differentiable thermodynamic modeling in JAX.
  ☆10Updated 3 years ago
• lamalab-org / pyepal
  Multiobjective active learning with tunable accuracy/efficiency tradeoff and clear stopping criterion.
  ☆40Updated 4 months ago
• mala-project / mala
  Materials Learning Algorithms. A framework for machine learning materials properties from first-principles data.
  ☆93Updated 2 weeks ago
• basf / ARCANA
  Package for the early-stage analysis and lifecycle monitoring of battery degradation
  ☆21Updated last year
• elvissoares / PyDFTlj
  An python script implementation to solve classical Density Functional Theory for Lennard-Jones fluids on 1D and 3D geometries
  ☆20Updated 10 months ago
• MLMI2-CSSI / foundry
  Simplifying the discovery and usage of machine-learning ready datasets in materials science and chemistry
  ☆82Updated 2 months ago
• SergeiVKalinin / MSE_Fall2023
  The materials for the Fall ML in Materials course at the UTK MSE
  ☆85Updated last year
• zaman13 / Brownian-dynamics-in-a-time-varying-force-field
  A python code to calculate the Brownian motion of colloidal particles in a time varying force field.
  ☆20Updated 8 months ago
• fuzhanrahmanian / MADAP
  Python Package for electrochemical analysis
  ☆23Updated 3 months ago
• williamratcliff / GNN-tutorial-APS-March-2023
  These are the slides associated with the GNN tutorial at the APS March Meeting
  ☆21Updated 2 years ago
• ziatdinovmax / GPim
  Gaussian processes and Bayesian optimization for images and hyperspectral data
  ☆57Updated last year
• sathya-chitturi / multibax-sklearn
  Design space subset estimation using Bayesian algorithm execution with sklearn GP models
  ☆23Updated 9 months ago
• anhender / mse_ML_datasets
  ☆15Updated 3 years ago
• WardLT / applied-ai-for-materials
  Course materials for "Applied AI for Materials Science and Engineering"
  ☆65Updated 3 years ago
• harrispirie / stmpy
  A collection of data analysis tools for STM.
  ☆15Updated last year
• samuelkim314 / DeepBO
  Deep Bayesian Optimization for Problems with High-Dimensional Structure
  ☆16Updated 2 years ago
• sparks-baird / mat_discover
  A materials discovery algorithm geared towards exploring high-performance candidates in new chemical spaces.
  ☆44Updated 11 months ago
• mdsunivie / deeperwin
  DeepErwin is a python 3.8+ package that implements and optimizes JAX 2.x wave function models for numerical solutions to the multi-electr…
  ☆58Updated 3 months ago
• ClancyLab / NCM2018
  ☆18Updated 4 years ago