pnnl / NeuralDAEsLinks
☆15Updated last month
Alternatives and similar repositories for NeuralDAEs
Users that are interested in NeuralDAEs are comparing it to the libraries listed below
Sorting:
- TorchFSM: Fourier Spectral Method with PyTorch☆48Updated 2 weeks ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆56Updated 3 years ago
- Stochastic Optimization under Uncertainty in Python.☆36Updated 3 months ago
- ☆33Updated last year
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆27Updated 2 months ago
- codes for "Universal Functional Regression with Neural Operator Flows"☆16Updated 2 months 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
- ☆29Updated 2 years ago
- An interpretable data-driven framework for building generative reduced order models with embedded uncertainty quantification☆34Updated 5 months ago
- Exploring how to to deal with uncertain inputs with gaussian process regression models.☆27Updated 4 years ago
- ☆88Updated 2 years ago
- PySensors is a Python package for sparse sensor placement☆92Updated last week
- An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.☆75Updated last month
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆80Updated 3 months ago
- ☆57Updated last year
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆47Updated last year
- A general-purpose Python package for Koopman theory using deep learning.☆106Updated 6 months ago
- Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".☆37Updated 3 years ago
- A PyTorch library for all things nonlinear control and reinforcement learning.☆47Updated 3 years ago
- Koopman operator identification library in Python, compatible with `scikit-learn`☆85Updated last month
- The public repository about our joint FINN research project☆38Updated 2 years ago
- Data-driven dynamical systems toolbox.☆74Updated last month
- Mathematical Programming in JAX☆102Updated 2 months ago
- Bayesian neural networks via MCMC: tutorial☆58Updated 10 months ago
- Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems☆135Updated 3 weeks ago
- physics-guided neural networks (phygnn)☆95Updated 2 months ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆79Updated 2 years ago
- Code for Lie Symmetries SSL paper☆23Updated last year
- Koopman Kernels for Learning Dynamical Systems from Trajectory Data☆30Updated last year
- Data Science for Dynamical System Course☆124Updated 10 months ago