forgi86 / pytorch-ident
System identification in PyTorch
☆24Updated last year
Alternatives and similar repositories for pytorch-ident:
Users that are interested in pytorch-ident are comparing it to the libraries listed below
- Python code of the paper "Model structures and fitting criteria for system identification with neural networks" by Marco Forgione and Dar…☆20Updated 3 years ago
- "dynoNet: A neural network architecture for learning dynamical systems" by Marco Forgione and Dario Piga☆44Updated 8 months ago
- Code accompanying the paper "Learning neural state-space models: do we need a state estimator?"☆10Updated last year
- Koopman operator identification library in Python, compatible with `scikit-learn`☆67Updated 3 months ago
- A Python package for linear subspace identification, nonlinear system identification, and nonlinear regression using Jax☆26Updated this week
- Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.☆90Updated 3 years ago
- Code to reproduce the results of the paper In-context learning for model-free system identification☆17Updated 6 months ago
- Codes accompanying the paper "Deep learning with transfer functions: new applications in system identification"☆21Updated last year
- Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)☆52Updated 2 weeks ago
- Data-driven dynamical systems toolbox.☆72Updated last month
- AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control☆30Updated 2 years ago
- A Python package to learn the Koopman operator.☆53Updated 3 months ago
- Koopman Reduced-Order Nonlinear Identification and Control☆86Updated 4 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆44Updated 4 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆67Updated 9 months ago
- A framework for neural network control of dynamical systems over graphs.☆57Updated 2 years ago
- Continuous-time system identification with neural networks☆25Updated 3 years ago
- Deep neural networks for system identification problems. (WIP)☆11Updated 5 years ago
- Koopman Kernels for Learning Dynamical Systems from Trajectory Data☆24Updated last year
- AleksandarHaber / Subspace-Identification-State-Space-System-Identification-of-Dynamical-Systems-and-Time-Series-☆42Updated 11 months ago
- Learning dynamical systems from data: Koopman☆15Updated 5 years ago
- ☆28Updated 2 years ago
- Toolbox for system identification of nonlinear state space grey-box models using CasADi☆23Updated last year
- Differentiable predictive control (DPC) policy optimization examples.☆51Updated last year
- Model-based Control using Koopman Operators☆51Updated 4 years ago
- Neural ODEs as Feedback Policies for Nonlinear Optimal Control (IFAC 2023) https://doi.org/10.1016/j.ifacol.2023.10.1248☆16Updated last year
- Input Inference for Control (i2c), a control-as-inference framework for optimal control☆23Updated last year
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆32Updated 5 years ago
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆26Updated 2 years ago
- A PyTorch library for all things nonlinear control and reinforcement learning.☆44Updated 3 years ago