☆196May 10, 2021Updated 5 years ago
Alternatives and similar repositories for data-driven-advection
Users that are interested in data-driven-advection are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for "Learning data-driven discretizations for partial differential equations"☆167Aug 19, 2025Updated 9 months ago
- Simple examples of data pipelines from xarray to ML training☆22Dec 19, 2019Updated 6 years ago
- Computational Fluid Dynamics in JAX☆947Feb 24, 2026Updated 3 months ago
- Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers☆176Oct 19, 2022Updated 3 years ago
- PDE-Net: Learning PDEs from Data☆330Jun 26, 2021Updated 4 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Mar 20, 2023Updated 3 years ago
- Data-driven Reynolds stress modeling with physics-informed machine learning☆98Mar 21, 2019Updated 7 years ago
- Differentiable Spline Approximations☆14Sep 3, 2023Updated 2 years ago
- Spanwise-averaged Navier–Stokes modelling through convolutional neural network☆14May 17, 2024Updated 2 years ago
- Code for neural network parameterization project☆19Nov 6, 2023Updated 2 years ago
- Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond☆1,887Oct 10, 2025Updated 7 months ago
- Solving ODE by artificial neural networks☆22Oct 13, 2018Updated 7 years ago
- MeshfreeFlowNet: Physical Constrained Space Time Super-Resolution☆108Jan 28, 2021Updated 5 years ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆34Oct 30, 2023Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- ☆14May 28, 2021Updated 4 years ago
- PyWENO is a Python implementation of one-dimensional Weighted Essentially Non-oscillatory (WENO) reconstructions.☆40Jun 19, 2024Updated last year
- Quasigeostrophic model in python☆153May 26, 2025Updated last year
- Deep Learning of Turbulent Scalar Mixing☆19Oct 6, 2019Updated 6 years ago
- A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning☆342Nov 15, 2022Updated 3 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆29Apr 20, 2024Updated 2 years ago
- ☆63Jul 24, 2019Updated 6 years ago
- Python code for "Applications of Deep Learning to Ocean Data Inference and Sub-Grid Parameterisation" (https://doi.org/10.1029/2018MS0014…☆50Nov 19, 2018Updated 7 years ago
- ☆26Jun 16, 2018Updated 7 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- A multi-block solver for massively parallel direct numerical simulations (DNS) of fluid flows☆43May 9, 2026Updated 2 weeks ago
- base package of FluidDyn project (publish-only mirror). For issues and merge requests, https://foss.heptapod.net/fluiddyn/fluiddyn☆31Feb 16, 2026Updated 3 months ago
- ☆15May 11, 2020Updated 6 years ago
- oocgcm is a python library for the analysis of large gridded geophysical dataset.☆39Apr 25, 2026Updated last month
- Using NVIDIA modulus for airfoil optimizations at different angles.☆25Apr 5, 2023Updated 3 years ago
- ☆279Nov 4, 2022Updated 3 years ago
- Deep Learning of Vortex Induced Vibrations☆101Feb 21, 2020Updated 6 years ago
- Quasi-geostrophic spectral solver in PyTorch☆18Sep 18, 2022Updated 3 years ago
- Differentiable Fluid Dynamics Package☆580May 19, 2026Updated last week
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Using graph network to solve PDEs☆447Jun 2, 2025Updated 11 months ago
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆290Jul 30, 2022Updated 3 years ago
- Basic intro to python☆12Apr 5, 2025Updated last year
- A differentiable PDE solving framework for machine learning☆1,872May 10, 2026Updated 2 weeks ago
- Deep Galerkin Method☆17Feb 10, 2019Updated 7 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆45Sep 30, 2022Updated 3 years ago
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆28Nov 14, 2025Updated 6 months ago