forgi86 / sysid-transformersLinks
Code to reproduce the results of the paper In-context learning for model-free system identification
☆17Updated last year
Alternatives and similar repositories for sysid-transformers
Users that are interested in sysid-transformers are comparing it to the libraries listed below
Sorting:
- "dynoNet: A neural network architecture for learning dynamical systems" by Marco Forgione and Dario Piga☆46Updated last year
- A Python package for linear subspace identification, nonlinear system identification, and nonlinear regression using Jax☆40Updated last month
- A general-purpose Python package for Koopman theory using deep learning.☆106Updated 6 months ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆76Updated last year
- Koopman operator identification library in Python, compatible with `scikit-learn`☆80Updated 3 weeks ago
- System identification in PyTorch☆26Updated 2 years ago
- Code accompanying the paper "Learning neural state-space models: do we need a state estimator?"☆10Updated 2 years ago
- Code for "Learning Control-Oriented Dynamical Structure from Data" by Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, and Marco …☆21Updated last year
- Neural Networks with CasADi☆10Updated 4 months ago
- A Python package to learn the Koopman operator.☆60Updated 8 months ago
- Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)☆59Updated 3 months ago
- A framework for neural network control of dynamical systems over graphs.☆57Updated 2 years ago
- Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling☆50Updated 3 years ago
- GLIS package☆29Updated 2 years ago
- Codes accompanying the paper "Deep learning with transfer functions: new applications in system identification"☆22Updated last year
- Data-driven dynamical systems toolbox.☆74Updated last week
- Model-based Control using Koopman Operators☆51Updated 5 years ago
- AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control☆31Updated 2 years ago
- This is the code repository for the DuSt-MPC paper, published at Robotics: Science and Systems (RSS) 2021.☆27Updated 4 years ago
- Code for "SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning" by Zolman et al.☆127Updated 6 months ago
- Input Inference for Control (i2c), a control-as-inference framework for optimal control☆25Updated last year
- A package for computing data-driven approximations to the Koopman operator.☆373Updated 9 months ago
- Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)☆61Updated 3 months ago
- Differentiable predictive control (DPC) policy optimization examples.☆55Updated last year
- ☆15Updated 4 years ago
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆144Updated 2 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆47Updated 4 years ago
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆24Updated 4 years ago
- Koopman Reduced-Order Nonlinear Identification and Control☆90Updated 5 years ago
- ☆24Updated 4 years ago