Alternatives and similar repositories for manifold-gp

Users that are interested in manifold-gp are comparing it to the libraries listed below

• danielkelshaw / riemax
  Riemannian geometry in JAX
  ☆14Updated last month
• NoemieJaquier / GaBOtorch
  This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.
  ☆52Updated 3 years ago
• NoemieJaquier / MaternGaBO
  This repository contains the code for the paper "Geometry-aware Bayesian Optimization in Roboticsusing Riemannian Matérn Kernels" (CoRL'2…
  ☆19Updated last year
• oxcsml / constrained-diffusion
  ☆21Updated last year
• anindex / mpot
  Implementation of Motion Planning via Optimal Transport (MPOT) in PyTorch, NeurIPS 2023.
  ☆58Updated last year
• DAIRLab / contact-nets
  Learning Discontinuous Contact Dynamics with Smooth, Implicit Representations
  ☆45Updated 3 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
• facebookresearch / lagrangian-ot
  Neural Optimal Transport with Lagrangian Costs
  ☆56Updated last month
• idiap / ttgo
  A PyTorch implementation of TTGO algorithm and the applications presented in the paper "Tensor Train for Global Optimization Problems in …
  ☆18Updated 7 months ago
• google-deepmind / dm_hamiltonian_dynamics_suite
  ☆34Updated 3 years ago
• spbu-math-cs / Riemannian-Gaussian-Processes
  Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".
  ☆29Updated 4 months ago
• kevin-tracy / qpax
  Differentiable QP solver in JAX
  ☆105Updated 8 months ago
• DesmondZhong / diff_sim_grads
  We compare the gradients calculated by different differentiable contact model implementations.
  ☆48Updated 2 years ago
• MarcToussaint / optimization-course
  Python bindings to some optimization benchmarks (robotics problems), in order to constrained optimization solvers. Includes also an inter…
  ☆21Updated 2 years ago
• doikov / super-newton
  Experiments with Super-Universal Newton method.
  ☆13Updated 2 years ago
• UMich-CURLY / LieNeurons
  Adjoint-Equivariant Neural Network for Semi-Simple Lie Algebras
  ☆28Updated 6 months ago
• Gabe-YHLee / MMLfD-Tutorial
  ☆29Updated last year
• gsutanto / smp_manifold_learning
  ☆18Updated 4 years ago
• StanfordASL / PBDS.jl
  Julia implementation of Pullback Bundle Dynamical Systems (PBDS) framework for geometrically-consistent, multi-task reactive control on m…
  ☆19Updated 3 years ago
• kevin-tracy / dpax
  Differentiable collision detection for capsules in JAX.
  ☆47Updated last year
• robotgradient / LieFlows
  Pytorch implementation of Stable Vector Fields on Lie Groups through Diffeomorphism
  ☆19Updated 7 months ago
• wjmaddox / online_gp
  Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"
  ☆62Updated 4 years ago
• wzhi / ODElearning_INN
  [ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks
  ☆10Updated 2 years ago
• katfriedl / reduced_lagrangians
  ☆12Updated 3 months ago
• thowell / RoboDojo.jl
  A differentiable simulator for robotic systems.
  ☆30Updated 3 years ago
• imbirik / LieStationaryKernels
  Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
  ☆43Updated last year
• nikihowe / myriad
  Myriad is a real-world testbed that aims to bridge trajectory optimization and deep learning.
  ☆66Updated last year
• hegdepashupati / gaussian-process-odes
  Implementation of the work Variational multiple shooting for Bayesian ODEs with Gaussian processes
  ☆12Updated 2 years ago
• fouratifares / ECP
  Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants
  ☆15Updated last month
• ttianyuren / eTAMP
  ☆17Updated last year