Alternatives and similar repositories for MaternGaBO

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

• NoemieJaquier / GaBOtorch
  This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.
  ☆53Updated 3 years ago
• fusion-ml / OCBO
  Offline Contextual Bayesian Optimization
  ☆14Updated 2 years ago
• hvarfner / vanilla_bo_in_highdim
  ☆30Updated 6 months ago
• nash169 / manifold-gp
  Repository containing the code for Implicit Manifold Gaussian Process.
  ☆15Updated last year
• wuwushrek / physics_constrained_nn
  Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling
  ☆52Updated 3 years ago
• sarmueller / gibo
  This repository contains the code for the paper "Local policy search with Bayesian optimization".
  ☆18Updated 2 years ago
• Machine-Learning-Dynamical-Systems / kooplearn
  A Python package to learn the Koopman operator.
  ☆61Updated 9 months ago
• oxcsml / constrained-diffusion
  ☆23Updated 2 years ago
• RicardoDominguez / PyCREPS
  Contextual Relative Entropy Policy Search for Reinforcement Learning in Python
  ☆15Updated 6 years ago
• Physics-aware-AI / DiffCoSim
  By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to …
  ☆36Updated 2 years ago
• cagrell / gp_constr
  Python model for constrained GP
  ☆25Updated 4 years ago
• katfriedl / reduced_lagrangians
  ☆13Updated 6 months ago
• spbu-math-cs / Riemannian-Gaussian-Processes
  Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".
  ☆29Updated 7 months ago
• asikist / nnc
  A framework for neural network control of dynamical systems over graphs.
  ☆57Updated 2 years ago
• Physics-aware-AI / Symplectic-ODENet
  ☆47Updated 4 years ago
• nikihowe / myriad
  Myriad is a real-world testbed that aims to bridge trajectory optimization and deep learning.
  ☆67Updated 2 years ago
• wjmaddox / online_gp
  Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"
  ☆64Updated 4 years ago
• kevin-tracy / qpax
  Differentiable QP solver in JAX
  ☆114Updated 11 months ago
• YunzhuLi / CompositionalKoopmanOperators
  [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control
  ☆90Updated 4 years ago
• wjmaddox / online_vargp
  Online variational GPs
  ☆37Updated 2 years ago
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆73Updated 4 years ago
• dawsonc / jax_controls_tutorial
  A brief JAX tutorial with examples from control theory
  ☆12Updated 2 years ago
• PredictiveIntelligenceLab / GP-NODEs
  ☆29Updated 2 years ago
• google-deepmind / dm_hamiltonian_dynamics_suite
  ☆35Updated 3 years ago
• danielkelshaw / riemax
  Riemannian geometry in JAX
  ☆14Updated 4 months ago
• gsutanto / smp_manifold_learning
  ☆18Updated 4 years ago
• TUM-ITR / koopcore
  Koopman Kernels for Learning Dynamical Systems from Trajectory Data
  ☆30Updated last year
• LemonPi / pytorch_cem
  Cross Entropy Method implemented in pytorch
  ☆38Updated 3 years ago
• DiffEqML / torchcontrol
  A PyTorch library for all things nonlinear control and reinforcement learning.
  ☆47Updated 3 years ago
• DecodEPFL / HamiltonianNet
  PyTorch implementation of Hamiltonian deep neural networks.
  ☆20Updated 3 years ago