Alternatives and similar repositories for DeepBO

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

• ma921 / SOBER
  Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration
  ☆29Updated last week
• martinjankowiak / saasbo
  SAASBO: a package for high-dimensional bayesian optimization
  ☆51Updated 4 years ago
• AudOlivier / UQ_in_ML
  ☆10Updated 4 years ago
• facebookresearch / morbo
  Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces
  ☆66Updated 3 years ago
• balintmate / boltzmann-interpolations
  ☆10Updated 2 years ago
• IdahoLabResearch / BIhNNs
  The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural …
  ☆16Updated 2 years ago
• ziatdinovmax / AugmentedGaussianProcess
  Gaussian process augmented with a probabilistic model of expected system's behavior
  ☆15Updated 3 years ago
• Bostanabad-Research-Group / GP-Plus
  Python Library for Generalized Gaussian Process Modeling
  ☆24Updated 8 months ago
• saimani5 / VAE-tutorials
  ☆41Updated 2 years ago
• peterparity / conservation-laws-manifold-learning
  Discovering Conservation Laws using Optimal Transport and Manifold Learning
  ☆21Updated 2 years ago
• yucenli / bnn-bo
  Bayesian Neural Network Surrogates for Bayesian Optimization
  ☆65Updated last year
• dimitra-maoutsa / odes_for_sdes
  Deterministic particle dynamics for simulating Fokker-Planck probability flows
  ☆26Updated 2 years ago
• MachineLearningLifeScience / hdbo_benchmark
  Code for "A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences"
  ☆15Updated 9 months ago
• shib0li / DNN-MFBO
  Multi-fidelity Bayesian Optimization via Deep Neural Nets
  ☆34Updated 4 years 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
• gabeguo / cdvae_xrd
  Deep PXRD Crystallography with CDVAE.
  ☆24Updated 5 months ago
• facebookresearch / robust_mobo
  Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"
  ☆56Updated 3 years ago
• ziatdinovmax / gpax
  Gaussian Processes for Experimental Sciences
  ☆231Updated 5 months ago
• iaifi / summer-school-2024
  ☆23Updated last year
• shib0li / BMBO-DARN
  Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks
  ☆12Updated 4 years ago
• smsharma / eqnn-jax
  Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.
  ☆40Updated 9 months ago
• KindXiaoming / NNPhD-github
  Code for "Machine-Learning Non-Conservative Dynamics for New-Physics Detection" (arXiv: 2106.00026)
  ☆15Updated 4 years ago
• samuelkim314 / DeepSymRegTorch
  PyTorch implementation of the EQL network, a neural network for symbolic regression
  ☆42Updated 4 years 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…
  ☆63Updated 8 months ago
• facebookresearch / neural-conservation-law
  code for "Neural Conservation Laws A Divergence-Free Perspective".
  ☆41Updated 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
• XZT008 / Standard-GP-is-all-you-need-for-HDBO
  Bayesian optimization with Standard Gaussian Processes on high dimensional benchmarks
  ☆18Updated 5 months ago
• lollcat / se3-augmented-coupling-flows
  SE(3) Equivariant Augmented Coupling Flows. NeurIPS 2023.
  ☆24Updated last year
• htlambley / functional_autoencoders
  Autoencoders in Function Space: Resolution-invariant autoencoders for functional data based on the functional variational autoencoder (FV…
  ☆31Updated 2 weeks ago