Mathepia / awesome-scimlLinks
Awesome-spatial-temporal-scientific-machine-learning-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included.
☆13Updated 2 years ago
Alternatives and similar repositories for awesome-sciml
Users that are interested in awesome-sciml are comparing it to the libraries listed below
Sorting:
- Deep renormalized Mori-Zwanzig (DrMZ) Julia package.☆14Updated 2 years ago
- Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.☆22Updated last year
- An integrated demo: Gaussian processes for PDEs and inverse problems☆14Updated 5 months ago
- Differentiable interface to FEniCS for JAX☆54Updated 4 years ago
- A set of Python notebooks to introduce the fundamentals of numerical programming using extensive examples from engineering.☆33Updated 4 years ago
- No need to train, he's a smooth operator☆44Updated 7 months ago
- Data-driven Geometric Multi-Grid solver for the discrete Poisson equation☆40Updated 3 years ago
- ☆17Updated 2 years ago
- Optimization framework for nonlinear, gradient-based constrained, sparse optimization problems.☆29Updated this week
- Training materials for ModelingToolkit and JuliaSim☆38Updated 2 years ago
- Studying quadrature methods applied to PINNs☆26Updated 3 years ago
- ☆10Updated last week
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆30Updated 2 years ago
- ☆32Updated 11 months ago
- Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks☆56Updated 3 months ago
- A Python library for training neural ODEs.☆23Updated 4 months ago
- High-level model-order reduction to automate the acceleration of large-scale simulations☆39Updated 3 weeks ago
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆16Updated 7 years ago
- Gridap drivers for fluid-structure interaction applications☆27Updated 3 years ago
- Lecture notes for M3M6 Methods of Mathematical Physics☆41Updated 4 years ago
- ☆17Updated 3 years ago
- Scaling RLLib for generic simulation environments on Theta☆20Updated 2 years ago
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆20Updated 4 years ago
- Tools for working with spatial fields discretized on or immersed in Cartesian grids☆20Updated last month
- Scientific Machine Learning Tutorials☆38Updated 3 years ago
- ☆21Updated 4 years ago
- ☆18Updated this week
- Convolutional Solvers for Partial Differential Equations☆28Updated 4 years ago
- Nonnegative Tensor Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning☆10Updated 6 months ago
- Marine Hydrodynamics☆31Updated 3 years ago