Alternatives and similar repositories for manifold-gp:

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

• NoemieJaquier / MaternGaBO
  This repository contains the code for the paper "Geometry-aware Bayesian Optimization in Roboticsusing Riemannian Matérn Kernels" (CoRL'2…
  ☆19Updated last year
• NoemieJaquier / GaBOtorch
  This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.
  ☆50Updated 3 years ago
• danielkelshaw / riemax
  Riemannian geometry in JAX
  ☆13Updated 3 weeks ago
• anindex / mpot
  Implementation of Motion Planning via Optimal Transport (MPOT) in PyTorch, NeurIPS 2023.
  ☆53Updated last year
• google-deepmind / dm_hamiltonian_dynamics_suite
  ☆34Updated 3 years ago
• imbirik / LieStationaryKernels
  Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
  ☆42Updated last year
• UMich-CURLY / LieNeurons
  Adjoint-Equivariant Neural Network for Semi-Simple Lie Algebras
  ☆25Updated 2 months ago
• facebookresearch / lagrangian-ot
  Neural Optimal Transport with Lagrangian Costs
  ☆53Updated 7 months ago
• hegdepashupati / gaussian-process-odes
  Implementation of the work Variational multiple shooting for Bayesian ODEs with Gaussian processes
  ☆12Updated 2 years ago
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆70Updated 4 years ago
• Physics-aware-AI / DiffCoSim
  By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to …
  ☆33Updated 2 years ago
• thowell / RoboDojo.jl
  A differentiable simulator for robotic systems.
  ☆30Updated 2 years ago
• nikihowe / myriad
  Myriad is a real-world testbed that aims to bridge trajectory optimization and deep learning.
  ☆67Updated last year
• idiap / ttgo
  A PyTorch implementation of TTGO algorithm and the applications presented in the paper "Tensor Train for Global Optimization Problems in …
  ☆18Updated 4 months ago
• ivandariojr / LyapunovLearning
  ☆39Updated last year
• 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
• DAIRLab / contact-nets
  Learning Discontinuous Contact Dynamics with Smooth, Implicit Representations
  ☆44Updated 2 years ago
• kevin-tracy / qpax
  Differentiable QP solver in JAX
  ☆86Updated 5 months ago
• TUM-ITR / koopcore
  Koopman Kernels for Learning Dynamical Systems from Trajectory Data
  ☆24Updated last year
• wzhi / ODElearning_INN
  [ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks
  ☆9Updated last year
• ghliu / DeepGSB
  Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral
  ☆47Updated 2 years ago
• plugyawn / gp-zoo
  A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…
  ☆14Updated 2 years ago
• steindoringi / Variational_Integrator_Networks
  ☆18Updated 2 years ago
• gsutanto / smp_manifold_learning
  ☆18Updated 4 years ago
• PredictiveIntelligenceLab / GP-NODEs
  ☆28Updated 2 years ago
• doikov / super-newton
  Experiments with Super-Universal Newton method.
  ☆12Updated 2 years ago
• wjmaddox / online_gp
  Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"
  ☆58Updated 4 years ago
• kevin-tracy / dpax
  Differentiable collision detection for capsules in JAX.
  ☆41Updated last year
• spbu-math-cs / Riemannian-Gaussian-Processes
  Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".
  ☆28Updated last month