Alternatives and similar repositories for DiffCoSim

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

• google-deepmind / dm_hamiltonian_dynamics_suite
  ☆35Updated 3 years ago
• NoemieJaquier / GaBOtorch
  This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.
  ☆53Updated 3 years ago
• DiffEqML / torchcontrol
  A PyTorch library for all things nonlinear control and reinforcement learning.
  ☆47Updated 3 years ago
• ivandariojr / LyapunovLearning
  ☆43Updated 2 years ago
• YunzhuLi / CompositionalKoopmanOperators
  [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control
  ☆90Updated 4 years ago
• vmartinezalvarez / DyNODE
  DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control
  ☆23Updated 5 years ago
• libeanim / contact-symplectic-integrator-network
  Contact-Aware Symplectic Integrator Network
  ☆15Updated 2 years ago
• TUM-ITR / koopcore
  Koopman Kernels for Learning Dynamical Systems from Trajectory Data
  ☆30Updated last year
• steindoringi / Variational_Integrator_Networks
  ☆20Updated 2 years ago
• nikihowe / myriad
  Myriad is a real-world testbed that aims to bridge trajectory optimization and deep learning.
  ☆67Updated 2 years ago
• 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
• DesmondZhong / Lagrangian_caVAE
  Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"
  ☆19Updated 3 years ago
• ghliu / snopt
  Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight
  ☆55Updated 3 years ago
• greydanus / optimize_wing
  We simulate a wind tunnel, place a rectangular occlusion in it, and then use gradient descent to turn the occlusion into a wing.
  ☆26Updated 4 years ago
• dawsonc / jax_controls_tutorial
  A brief JAX tutorial with examples from control theory
  ☆12Updated 2 years ago
• thowell / RoboDojo.jl
  A differentiable simulator for robotic systems.
  ☆31Updated 3 years ago
• mfinzi / constrained-hamiltonian-neural-networks
  ☆110Updated 4 years ago
• sisl / mechamodlearn
  Structured framework for learning mechanical systems in PyTorch
  ☆26Updated 6 years ago
• yuan-yin / APHYNITY
  Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting
  ☆47Updated last year
• rdyro / torch2jax
  Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.
  ☆56Updated last month
• MinRegret / deluca
  Performant, differentiable reinforcement learning
  ☆24Updated 2 years ago
• gsutanto / smp_manifold_learning
  ☆18Updated 4 years ago
• wzhi / ODElearning_INN
  [ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks
  ☆10Updated 2 years ago
• wjmaddox / online_vargp
  Online variational GPs
  ☆37Updated 2 years ago
• Bellman-devs / bellman
  Model-based reinforcement learning in TensorFlow
  ☆56Updated 4 years ago
• Physics-aware-AI / Symplectic-ODENet
  ☆47Updated 4 years ago
• donken / NeuralOC
  A Neural Network Approach for Real-Time High-Dimensional Optimal Control
  ☆27Updated 3 years ago
• tung-nd / E2C-pytorch
  A pytorch implementation of the paper "Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images", NIPS, 2015
  ☆14Updated 5 years ago
• ami-iit / paper_bergonti_2024_icra_codesign-morphing-drones
  Supplementary Material "Co-Design Optimisation of Morphing Topology and Control of Winged Drones" published in IEEE 2024 International Co…
  ☆18Updated 9 months ago
• oxcsml / constrained-diffusion
  ☆23Updated 2 years ago