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.
☆14Updated 3 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.☆17Updated 2 years ago
- Stiff Neural Ordinary Differential Equations☆35Updated 2 years ago
- Studying quadrature methods applied to PINNs☆26Updated 4 years ago
- Notebook for my new solver book☆64Updated last month
- Convolutional Solvers for Partial Differential Equations☆27Updated 5 years ago
- Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks☆59Updated 8 months ago
- DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia☆28Updated last week
- Scientific Machine Learning Tutorials☆40Updated 4 years ago
- Optimization framework for nonlinear, gradient-based constrained, sparse optimization problems.☆30Updated 2 weeks ago
- 18.336 - Fast Methods for Partial Differential and Integral Equations☆186Updated last year
- Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.☆22Updated this week
- An integrated demo: Gaussian processes for PDEs and inverse problems☆16Updated 4 months ago
- ☆32Updated last year
- No need to train, he's a smooth operator☆45Updated 2 weeks ago
- Learning Green's functions of partial differential equations with deep learning.☆72Updated last year
- ☆12Updated 4 years ago
- ☆36Updated 2 years ago
- Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling☆86Updated 4 years ago
- The Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN☆72Updated last month
- Training materials for ModelingToolkit and JuliaSim☆38Updated 3 years ago
- SciML-Bench Benchmarks for Scientific Machine Learning (SciML), Physics-Informed Machine Learning (PIML), and Scientific AI Performance☆25Updated last month
- Slides/notes and Jupyter notebook demos for an introductory course of numerical methods for PDEs☆22Updated last year
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆33Updated 2 years ago
- ☆21Updated 5 years ago
- ☆10Updated 2 weeks ago
- Data-driven Geometric Multi-Grid solver for the discrete Poisson equation☆41Updated 3 years ago
- A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software☆75Updated last year
- Fully-differentiable multi physics finite-volume simulators☆71Updated this week
- DPFEHM: A Differentiable Subsurface Flow Simulator☆41Updated 4 months ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆59Updated 3 years ago