pnnl / slimLinks
Drop-in replacements for PyTorch nn.Linear for stable learning and inductive priors in physics informed machine learning applications.
☆18Updated last year
Alternatives and similar repositories for slim
Users that are interested in slim are comparing it to the libraries listed below
Sorting:
- PySensors is a Python package for sparse sensor placement☆92Updated last week
- Stochastic Optimization under Uncertainty in Python.☆36Updated last month
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆56Updated 3 years ago
- Multiobjective black-box optimization using gradient-boosted trees☆58Updated 4 months ago
- Differentiable interface to FEniCS for JAX☆54Updated 4 years ago
- Port-Hamiltonian Approach to Neural Network Training☆24Updated 5 years ago
- ☆72Updated 4 years ago
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- Data-driven dynamical systems toolbox.☆74Updated 2 months ago
- ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis☆53Updated 2 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆78Updated 2 years ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 2 years ago
- ☆22Updated last month
- Material for 'Mathematics of Deep Learning Workshop' (Invited Talk)☆17Updated 2 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆30Updated 2 years ago
- Python trust-region subproblem solvers for nonlinear optimization☆27Updated 11 months ago
- Collection of Multi-Fidelity benchmark functions☆27Updated 10 months ago
- ☆21Updated 4 years ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆26Updated 3 years ago
- a collection of modern sparse (regularized) linear regression algorithms.☆64Updated 5 years ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆128Updated 10 months ago
- Python-based Derivative-Free Optimizer for Least-Squares☆42Updated 5 months ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆97Updated last year
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆57Updated 4 years ago
- ☆87Updated 2 years ago
- ☆29Updated 2 years ago
- Scientific Machine Learning Tutorials☆38Updated 3 years ago
- Python bindings to pressio☆10Updated 2 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆114Updated 3 years ago