NVIDIA / modulus-toolchain
Suite of utilities aiming to simplify the workflow required to build models using Physics Informed Neural Networks and, eventually, Physics ML more broadly. This includes facilities for project management, problem definition, debugging, model configuration and training, and model inference.
☆23Updated last year
Related projects ⓘ
Alternatives and complementary repositories for modulus-toolchain
- Repo of optimized training recipes for accelerating PyTorch workflows of AI driven surrogates for physical systems☆56Updated last year
- Learning Green's functions of partial differential equations with deep learning.☆63Updated 10 months ago
- ☆28Updated 9 months ago
- JAX-DIPS is a differentiable interfacial PDE solver.☆40Updated 2 months ago
- ☆31Updated 4 months ago
- A Python library for training neural ODEs.☆19Updated this week
- Distributed Fourier Neural Operators☆28Updated 2 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆59Updated 7 months ago
- Using NVIDIA modulus for airfoil optimizations at different angles.☆23Updated last year
- Scientific Machine Learning Tutorials☆36Updated 3 years ago
- ☆46Updated last year
- Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling☆80Updated 3 years ago
- Datasets and code for results presented in the BOON paper☆41Updated last year
- Python interface for libROM, library for reduced order models☆56Updated this week
- ☆59Updated last month
- Datasets and code for results presented in the ProbConserv paper☆51Updated 5 months ago
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆23Updated last year
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆35Updated 2 years ago
- ☆31Updated last year
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆18Updated 10 months ago
- The algorithmic differentation tool pyadjoint and add-ons.☆91Updated this week
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆17Updated 2 years ago
- USC seminar review of deep learning application to PDE solving and ROM☆11Updated 3 years ago
- Pseudospectral Kolmogorov Flow Solver☆34Updated last year
- Coding numerical methods using ChatGPT: successes, failures, and challenges☆18Updated last year
- PyMGRIT is a package for the Multigrid-Reduction-in-Time (MGRIT) algorithm in Python.☆17Updated 2 years ago
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆54Updated 2 weeks ago
- ☆32Updated this week
- A shape optimisation toolbox built on the Firedrake finite element library.☆27Updated 3 weeks ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆112Updated 2 years ago