hvarfner / vanilla_bo_in_highdim

Related projects ⓘ

Alternatives and complementary repositories for vanilla_bo_in_highdim

• fusion-ml / OCBO
  Offline Contextual Bayesian Optimization
  ☆14Updated last year
• sarmueller / gibo
  This repository contains the code for the paper "Local policy search with Bayesian optimization".
  ☆13Updated 2 years ago
• martinjankowiak / saasbo
  SAASBO: a package for high-dimensional bayesian optimization
  ☆37Updated 3 years ago
• LeoIV / BAxUS
  This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier…
  ☆15Updated 10 months ago
• a5a / asynchronous-BO
  Code related to the paper "Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation"
  ☆11Updated 5 years ago
• ltiao / bore
  Bayesian Optimization with Density-Ratio Estimation
  ☆23Updated last year
• siddarthk97 / bonet
  ☆10Updated 2 years ago
• benavoli / SkewGP
  Skew Gaussian Processes by Alessio Benavoli, Dario Azzimonti and Dario Piga
  ☆12Updated 3 years ago
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆66Updated 4 years ago
• NoemieJaquier / GaBOtorch
  This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.
  ☆49Updated 3 years ago
• NoemieJaquier / MaternGaBO
  This repository contains the code for the paper "Geometry-aware Bayesian Optimization in Roboticsusing Riemannian Matérn Kernels" (CoRL'2…
  ☆20Updated last year
• yucenli / bnn-bo
  Bayesian Neural Network Surrogates for Bayesian Optimization
  ☆47Updated 6 months ago
• yunshengtian / DGEMO
  [NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations
  ☆100Updated last year
• DiffEqML / torchcontrol
  A PyTorch library for all things nonlinear control and reinforcement learning.
  ☆44Updated 3 years ago
• Physics-aware-AI / Symplectic-ODENet
  ☆42Updated 3 years ago
• boschresearch / MetaBO
  Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization
  ☆35Updated 4 years ago
• xingchenwan / Casmopolitan
  [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces
  ☆30Updated last year
• wjmaddox / online_vargp
  Online variational GPs
  ☆31Updated last year
• machinelearningnuremberg / HPO-B
  [NeurIPS DBT 2021] HPO-B
  ☆28Updated 3 months ago
• facebookresearch / morbo
  Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces
  ☆54Updated 2 years ago
• asikist / nnc
  A framework for neural network control of dynamical systems over graphs.
  ☆55Updated 2 years ago
• wuwushrek / physics_constrained_nn
  Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling
  ☆41Updated 3 years ago
• shalijiang / bo
  code for BINOCULARS and Multi-Step BO
  ☆11Updated 3 years ago
• Machine-Learning-Dynamical-Systems / kooplearn
  A Python package to learn the Koopman operator.
  ☆47Updated this week
• facebookresearch / bo_pr
  Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
  ☆69Updated 2 years ago
• aryandeshwal / HyBO
  ☆23Updated last year
• mfinzi / constrained-hamiltonian-neural-networks
  ☆102Updated 3 years ago
• hegdepashupati / gaussian-process-odes
  Implementation of the work Variational multiple shooting for Bayesian ODEs with Gaussian processes
  ☆12Updated 2 years ago
• cagatayyildiz / oderl
  Experiment code for "Continuous-Time Model-Based Reinforcement Learning"
  ☆47Updated 11 months ago
• google-research / hyperbo
  Pre-trained Gaussian processes for Bayesian optimization
  ☆86Updated 2 months ago