pnnl / slimLinks
Drop-in replacements for PyTorch nn.Linear for stable learning and inductive priors in physics informed machine learning applications.
☆18Updated 2 years ago
Alternatives and similar repositories for slim
Users that are interested in slim are comparing it to the libraries listed below
Sorting:
- Stochastic Optimization under Uncertainty in Python.☆36Updated 8 months ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆61Updated 3 years ago
- Port-Hamiltonian Approach to Neural Network Training☆27Updated 6 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆30Updated 3 years ago
- PySensors is a Python package for sparse sensor placement☆110Updated 2 weeks ago
- Python trust-region subproblem solvers for nonlinear optimization☆30Updated 3 weeks ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆79Updated 3 years ago
- ☆89Updated 2 years ago
- Multiobjective black-box optimization using gradient-boosted trees☆61Updated 11 months ago
- Differentiable interface to FEniCS for JAX☆58Updated 4 years ago
- How to train a neural ODE for time series/weather forecasting☆39Updated 3 years ago
- Learning Neural Differential Algebraic Equations via Operator Splitting☆21Updated 6 months ago
- Computation of invariant manifolds in high-dimensional mechanics problems☆27Updated 2 years ago
- Python-based Derivative-Free Optimizer for Least-Squares☆45Updated 3 weeks ago
- ☆74Updated 5 years ago
- PowerSAS.m - A power grid analysis toolbox based on semi-analytical solutions (SAS) for Matlab/GNU Octave☆21Updated 2 years ago
- Stiff Neural Ordinary Differential Equations☆35Updated 2 years ago
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆27Updated 2 months ago
- The Theory of Functional Connections: A functional interpolation method with applications in solving differential equations.☆41Updated last month
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- A set of Python notebooks to introduce the fundamentals of numerical programming using extensive examples from engineering.☆36Updated 4 years ago
- An intuitive modeling interface for infinite dimensional optimization problems.☆11Updated 3 weeks ago
- ☆28Updated 3 years ago
- Nonlinear and Stochastic Optimization. https://ndcbe.github.io/CBE60499/☆17Updated 2 years ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆27Updated 3 years ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆107Updated 2 years ago
- Software to train neural networks via Koopman operator theory (see Dogra and Redman "Optimizing Neural Networks via Koopman Operator Theo…☆21Updated 2 years ago
- An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.☆93Updated 3 weeks ago
- Data-driven dynamical systems toolbox.☆80Updated 2 weeks ago
- Convex Optimization under Uncertainty☆27Updated 3 weeks ago