Alternatives and similar repositories for rigid_body_dynamics_graph

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

• milutter / deep_lagrangian_networks
  Open-source implementation of Deep Lagrangian Networks (DeLaN)
  ☆133Updated last year
• NoemieJaquier / GaBOtorch
  This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.
  ☆54Updated 4 years ago
• LemonPi / pytorch_cem
  Cross Entropy Method implemented in pytorch
  ☆37Updated 3 years ago
• vmartinezalvarez / DyNODE
  DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control
  ☆23Updated 5 years ago
• Physics-aware-AI / DiffCoSim
  By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to …
  ☆37Updated 2 years ago
• wuwushrek / physics_constrained_nn
  Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling
  ☆53Updated 4 years ago
• TUM-ITR / koopcore
  Koopman Kernels for Learning Dynamical Systems from Trajectory Data
  ☆31Updated 2 years ago
• YunzhuLi / CompositionalKoopmanOperators
  [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control
  ☆93Updated 4 years ago
• jaem-seo / pinn-optimization
  ☆29Updated last year
• decargroup / closed_loop_koopman
  Companion code for Closed-Loop Koopman Operator Approximation
  ☆16Updated last year
• asikist / nnc
  A framework for neural network control of dynamical systems over graphs.
  ☆56Updated 3 years ago
• Bigpig4396 / Incremental-Gaussian-Process-Regression-IGPR
  ☆16Updated 4 years ago
• gsutanto / smp_manifold_learning
  ☆18Updated 5 years ago
• anindex / mpot
  Implementation of Motion Planning via Optimal Transport (MPOT) in PyTorch, NeurIPS 2023.
  ☆62Updated last month
• NoemieJaquier / MaternGaBO
  This repository contains the code for the paper "Geometry-aware Bayesian Optimization in Roboticsusing Riemannian Matérn Kernels" (CoRL'2…
  ☆21Updated 2 years ago
• i-abr / active-learning-koopman
  ☆27Updated 4 years ago
• DesmondZhong / Lagrangian_caVAE
  Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"
  ☆20Updated 3 years ago
• projectchrono / gym-chrono
  Custom OpenAI Gym environments based on PyChrono
  ☆41Updated 10 months ago
• HannesStark / gnn-reinforcement-learning
  Representing robots as graphs for reinforcement-learning in PyBullet locomotion environments.
  ☆34Updated 4 years ago
• StanfordASL / soft-robot-control
  Implementation of reduced-order optimal control schemes for finite element models of Soft Robots
  ☆37Updated last year
• ruiqini / P-NTFields
  Code release for RSS 2023 paper "Progressive Learning for Physics-informed Neural Motion Planning"
  ☆26Updated 2 months ago
• clegaard / deep_learning_for_dynamical_systems
  ☆89Updated 2 years ago
• LearningByDoingCompetition / learningbydoing-comp
  LearningByDoing NeurIPS 2021 Competition: Standalone Code and Results
  ☆20Updated 3 years ago
• lubaroli / dust
  This is the code repository for the DuSt-MPC paper, published at Robotics: Science and Systems (RSS) 2021.
  ☆28Updated 4 years ago
• tomsilver / camps
  Code for
  ☆16Updated 5 years ago
• GuanyaShi / Online-Meta-Adaptive-Control
  ☆58Updated 4 years ago
• GrauleM / somogym
  A toolkit for developing and evaluating controllers and reinforcement learning algorithms for soft robots
  ☆60Updated 3 years ago
• robotgradient / LieFlows
  Pytorch implementation of Stable Vector Fields on Lie Groups through Diffeomorphism
  ☆21Updated last year
• StanfordASL / Adaptive-Control-Oriented-Meta-Learning
  Adaptive control-oriented meta-learning for nonlinear systems
  ☆70Updated 4 years ago
• ruiqini / NTFields
  Code release for ICLR 2023 paper "NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning"
  ☆51Updated 2 months ago