Alternatives and similar repositories for uncertainty_benchmarking

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

• Ryan-Rhys / Heteroscedastic-BO
  Heteroscedastic Bayesian Optimisation in Numpy
  ☆22Updated 2 years ago
• dholzmueller / bmdal_reg
  Deep Batch Active Learning for Regression
  ☆73Updated last year
• samuelstanton / conformal-bayesopt
  Bayesian optimization with conformal coverage guarantees
  ☆29Updated 3 years ago
• henrymoss / BOSS
  Bayesian Optimisation for String Spaces
  ☆24Updated 4 years ago
• ma921 / BASQ
  (NeurIPS 2022) Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination
  ☆19Updated 2 years ago
• willieneis / bayesian-algorithm-execution
  Bayesian algorithm execution (BAX)
  ☆55Updated 4 years ago
• Ryan-Rhys / Constrained-Bayesian-Optimisation-for-Automatic-Chemical-Design
  Code to accompany the paper "Constrained Bayesian Optimisation for Automatic Chemical Design" https://pubs.rsc.org/en/content/articlehtml…
  ☆51Updated 3 years ago
• PV-Lab / Benchmarking
  Benchmarking
  ☆31Updated 4 years ago
• facebookresearch / bo_pr
  Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
  ☆76Updated 3 years ago
• PV-Lab / BayesProcess
  Physics informed Bayesian network + autoencoder for matching process / variable / performance in solar cells.
  ☆32Updated 4 years ago
• TorchUQ / torchuq
  A library for uncertainty quantification based on PyTorch
  ☆121Updated 4 years ago
• WayneDW / Contour-Stochastic-Gradient-Langevin-Dynamics
  An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)
  ☆42Updated 3 years ago
• Ryan-Rhys / FlowMO
  Library for training Gaussian Processes on Molecules
  ☆36Updated 3 years ago
• samuelstanton / lambo
  Code to reproduce experiments in "Accelerating Bayesian Optimization for Protein Design with Denoising Autoencoders" (Stanton et al 2022)
  ☆73Updated last year
• cambridge-mlg / weighted-retraining
  ☆44Updated 3 years ago
• clarafy / conformal-for-design
  ☆28Updated 3 years ago
• wwang2 / Coarse-Graining-Auto-encoders
  ☆38Updated 3 years ago
• wiskott-lab / sklearn-sfa
  This project provides Slow Feature Analysis as a scikit-learn-style package.
  ☆41Updated 2 years ago
• cog-imperial / SnAKe
  Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".
  ☆17Updated last year
• aspuru-guzik-group / olympus
  Olympus: a benchmarking framework for noisy optimization and experiment planning
  ☆92Updated last year
• facebookresearch / robust_mobo
  Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"
  ☆57Updated 3 years ago
• helgestein / materials-images-spectra
  This repository contains code for handling the materials images and spectra dataset that is the largest expermental materials science dat…
  ☆15Updated 2 years ago
• usccolumbia / materialsUQ
  Uncertainty Quantification for Materials Property Prediction: a Benchmark Study
  ☆17Updated last year
• gregversteeg / esh_dynamics
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆36Updated 4 years ago
• runame / laplace-redux
  Laplace Redux -- Effortless Bayesian Deep Learning
  ☆43Updated 7 months ago
• ur-whitelab / BO-ICL
  BayesOpt + LIFT
  ☆74Updated 8 months ago
• yucenli / bnn-bo
  Bayesian Neural Network Surrogates for Bayesian Optimization
  ☆65Updated last year
• mbilos / stribor
  Library for normalizing flows and neural flows.
  ☆26Updated 3 years ago
• pascalnotin / uncertainty_guided_optimization
  Official repository for the paper "Improving black-box optimization in VAE latent space using decoder uncertainty" (Pascal Notin, José Mi…
  ☆30Updated 2 years ago
• sathya-chitturi / multibax-sklearn
  Design space subset estimation using Bayesian algorithm execution with sklearn GP models
  ☆25Updated last year