DENG-MIT / StiffNeuralODELinks
Stiff Neural Ordinary Differential Equations
☆35Updated 2 years ago
Alternatives and similar repositories for StiffNeuralODE
Users that are interested in StiffNeuralODE are comparing it to the libraries listed below
Sorting:
- Convolutional Solvers for Partial Differential Equations☆28Updated 5 years ago
- ☆21Updated 4 years ago
- Benchmark for learning stiff problems using physics-informed machine learning☆12Updated 3 years ago
- Differentiable interface to FEniCS for JAX☆58Updated 4 years ago
- Code for "Machine-Learning Non-Conservative Dynamics for New-Physics Detection" (arXiv: 2106.00026)☆15Updated 4 years ago
- Learning Green's functions of partial differential equations with deep learning.☆71Updated last year
- ☆28Updated 4 years ago
- A short course in pseudospectral collocation methods for wave equations, with implementations in Python.☆59Updated 4 months ago
- Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling☆85Updated 4 years ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆74Updated 2 months ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆32Updated last year
- Chemical Reaction Neural Network☆92Updated last week
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆63Updated 3 years ago
- An integrated demo: Gaussian processes for PDEs and inverse problems☆14Updated last month
- Dimension reduced surrogate construction for parametric PDE maps☆37Updated 2 weeks ago
- Deep renormalized Mori-Zwanzig (DrMZ) Julia package.☆17Updated 2 years ago
- Material for workshop and autumn school on scientific machine learning 2023☆21Updated last year
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Update PDEKoopman code to Tensorflow 2☆23Updated 4 years ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆115Updated 3 years ago
- Sandia Uncertainty Quantification Toolkit☆83Updated 8 months ago
- ☆32Updated last year
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆56Updated 3 years ago
- Scientific Machine Learning Tutorials☆39Updated 3 years ago
- A software package for flexible HPC GPs☆16Updated this week
- An implementation of the 1. Parallel, 2. Streaming, 3. Randomized SVD using MPI4Py☆63Updated 4 years ago
- Analysis of initial value ODE solvers☆82Updated last year
- An exact riemann problem solver written in julia. This program which generates exact solutions for the hydrodynamics Euler equations usin…☆16Updated 6 years ago
- A Python library for training neural ODEs.☆25Updated 7 months ago
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆27Updated last year