Alternatives and similar repositories for QuaSiModO

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

• sklus / d3s
  Data-driven dynamical systems toolbox.
  ☆80Updated last week
• petergchang / sarkka-jax
  ☆12Updated 3 years ago
• Machine-Learning-Dynamical-Systems / kooplearn
  A Python package to learn the Koopman operator.
  ☆66Updated this week
• MORLab / sss
  sss - Sparse State-Space and System Analysis Toolbox
  ☆12Updated last year
• PredictiveIntelligenceLab / GP-NODEs
  ☆28Updated 3 years ago
• dynamicslab / modified-SINDy
  Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…
  ☆61Updated 3 years ago
• MColbrook / Residual-Dynamic-Mode-Decomposition
  Code for ResDMD: data-driven spectral properties of Koopman Operators
  ☆42Updated last year
• DiffEqML / torchcontrol
  A PyTorch library for all things nonlinear control and reinforcement learning.
  ☆47Updated 4 years ago
• DS-4-DS / DS4DS_Course
  Data Science for Dynamical System Course
  ☆146Updated 2 months ago
• MIT-Lu-Lab / MPAX
  Mathematical Programming in JAX
  ☆142Updated 8 months ago
• andreikitaitsev / SymINDy
  Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…
  ☆85Updated 3 years ago
• IlyaOrson / Control-NeuralODE
  Neural ODEs as Feedback Policies for Nonlinear Optimal Control (IFAC 2023) https://doi.org/10.1016/j.ifacol.2023.10.1248
  ☆18Updated 2 years ago
• TUM-ITR / koopcore
  Koopman Kernels for Learning Dynamical Systems from Trajectory Data
  ☆32Updated 2 years ago
• decargroup / pykoop
  Koopman operator identification library in Python, compatible with `scikit-learn`
  ☆103Updated 4 months ago
• donken / NeuralOC
  A Neural Network Approach for Real-Time High-Dimensional Optimal Control
  ☆27Updated 3 years ago
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆79Updated 3 years ago
• hippylib / soupy
  Stochastic Optimization under Uncertainty in Python.
  ☆36Updated 8 months ago
• long-da / A-United-Framework-to-Integrate-Physics-into-Gaussian-Processes
  ☆11Updated 3 years ago
• pnkraemer / probdiffeq
  Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…
  ☆53Updated 2 months ago
• cagatayyildiz / npode
  Learning unknown ODE models with Gaussian processes
  ☆27Updated 7 years ago
• bemporad / jax-sysid
  A Python package for linear subspace identification, nonlinear system identification, and nonlinear regression using Jax
  ☆54Updated 4 months ago
• nzolman / sindy-rl
  Code for "SINDy-RL for Interpretable and Efficient Model-Based Reinforcement Learning" by Zolman et al.
  ☆159Updated 2 months ago
• hyumo / pysindy-gui
  PySINDy GUI
  ☆47Updated 2 years ago
• eurika-kaiser / KRONIC
  Koopman Reduced-Order Nonlinear Identification and Control
  ☆93Updated 5 years ago
• urban-fasel / SEIR_SINDY_MPC
  ☆45Updated 4 years ago
• florisvb / PyNumDiff
  Methods for numerical differentiation of noisy data in python
  ☆130Updated last month
• JonathanWenger / itergp
  IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)
  ☆43Updated 2 years ago
• stephenbeckr / convex-optimization-class
  APPM 5630 at CU Boulder
  ☆52Updated 6 months ago
• GaloisInc / dlkoopman
  A general-purpose Python package for Koopman theory using deep learning.
  ☆120Updated 4 months ago
• UCR-Robotics / ACD-EDMD
  ☆11Updated 4 years ago