pnnl / NeuralDAEsLinks
Learning Neural Differential Algebraic Equations via Operator Splitting
☆21Updated 5 months ago
Alternatives and similar repositories for NeuralDAEs
Users that are interested in NeuralDAEs are comparing it to the libraries listed below
Sorting:
- Stochastic Optimization under Uncertainty in Python.☆36Updated 7 months ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆60Updated 3 years ago
- TorchFSM: Fourier Spectral Method with PyTorch☆53Updated last week
- ☆28Updated 3 years ago
- Data-driven dynamical systems toolbox.☆80Updated last week
- ☆89Updated 2 years ago
- Data Science for Dynamical System Course☆146Updated last month
- An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.☆90Updated 5 months ago
- Mathematical Programming in JAX☆138Updated 7 months ago
- Learning unknown ODE models with Gaussian processes☆27Updated 7 years ago
- Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…☆84Updated 3 years ago
- A framework for neural network control of dynamical systems over graphs.☆57Updated 3 years ago
- A Python package to learn the Koopman operator.☆65Updated this week
- Koopman operator identification library in Python, compatible with `scikit-learn`☆102Updated 3 months ago
- A PyTorch library for all things nonlinear control and reinforcement learning.☆47Updated 4 years ago
- Nonparametric Differential Equation Modeling☆56Updated last year
- A general-purpose Python package for Koopman theory using deep learning.☆120Updated 3 months ago
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆28Updated 7 months ago
- Koopman Kernels for Learning Dynamical Systems from Trajectory Data☆32Updated 2 years ago
- Material for the tutorial on "Physics-Informed Machine Learning (PIML) for Modeling and Control of Dynamical Systems" presented at the Am…☆19Updated last year
- 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
- code for "Universal Functional Regression with Neural Operator Flows" TMLR 2024☆20Updated 6 months ago
- Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)☆67Updated 8 months ago
- Exploring how to to deal with uncertain inputs with gaussian process regression models.☆27Updated 4 years ago
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆43Updated 2 years ago
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆48Updated 2 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆79Updated 3 years ago
- Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems☆156Updated 2 months ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆53Updated 2 months ago
- Port-Hamiltonian Approach to Neural Network Training☆26Updated 6 years ago