Alternatives and similar repositories for LyapunovLearning:

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

• Physics-aware-AI / DiffCoSim
  By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to …
  ☆32Updated 2 years ago
• DiffEqML / torchcontrol
  A PyTorch library for all things nonlinear control and reinforcement learning.
  ☆44Updated 3 years ago
• vmartinezalvarez / DyNODE
  DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control
  ☆22Updated 4 years ago
• NoemieJaquier / GaBOtorch
  This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.
  ☆50Updated 3 years ago
• TUM-ITR / koopcore
  Koopman Kernels for Learning Dynamical Systems from Trajectory Data
  ☆24Updated last year
• DesmondZhong / Lagrangian_caVAE
  Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"
  ☆18Updated 2 years ago
• oxcsml / constrained-diffusion
  ☆16Updated last year
• nikihowe / myriad
  Myriad is a real-world testbed that aims to bridge trajectory optimization and deep learning.
  ☆67Updated last year
• Jiacheng-Zhu-AIML / WGPOT
  The Wasserstein Distance and Optimal Transport Map of Gaussian Processes
  ☆51Updated 4 years ago
• facebookresearch / neural-scs
  Neural Fixed-Point Acceleration for Convex Optimization
  ☆29Updated 2 years ago
• yuan-yin / APHYNITY
  Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting
  ☆42Updated last year
• wjmaddox / online_vargp
  Online variational GPs
  ☆31Updated last year
• ghliu / snopt
  Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight
  ☆52Updated 3 years ago
• cambridge-mlg / neural_diffusion_processes
  ☆13Updated last year
• asikist / nnc
  A framework for neural network control of dynamical systems over graphs.
  ☆57Updated 2 years ago
• spenrich / Learning-Control-Oriented-Structure
  Code for "Learning Control-Oriented Dynamical Structure from Data" by Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, and Marco …
  ☆13Updated last year
• patrick-kidger / FasterNeuralDiffEq
  Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
  ☆86Updated 2 years ago
• qsh-zh / pis
  [ICLR 2022] Path integral sampler
  ☆43Updated last year
• google-deepmind / dm_hamiltonian_dynamics_suite
  ☆34Updated 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
• locuslab / stable_dynamics
  Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)
  ☆32Updated 5 years ago
• boschresearch / ube-mbrl
  Model-Based Uncertainty in Value Functions (AISTATS2023)
  ☆18Updated last year
• ElisevanderPol / symmetrizer
  ☆29Updated 4 years ago
• ghliu / DeepGSB
  Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral
  ☆47Updated 2 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆39Updated 3 months ago
• cagatayyildiz / oderl
  Experiment code for "Continuous-Time Model-Based Reinforcement Learning"
  ☆50Updated last year
• ElisevanderPol / mdp-homomorphic-networks
  ☆28Updated 4 years ago
• wzhi / ODElearning_INN
  [ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks
  ☆9Updated last year
• donken / NeuralOC
  A Neural Network Approach for Real-Time High-Dimensional Optimal Control
  ☆26Updated 2 years ago
• libeanim / contact-symplectic-integrator-network
  Contact-Aware Symplectic Integrator Network
  ☆11Updated last year