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:
- Stiff Neural Ordinary Differential Equations☆35Updated 2 years ago
- Deep renormalized Mori-Zwanzig (DrMZ) Julia package.☆17Updated 2 years ago
- Notebook for my new solver book☆64Updated 2 months ago
- An integrated demo: Gaussian processes for PDEs and inverse problems☆16Updated 6 months ago
- Learning Green's functions of partial differential equations with deep learning.☆71Updated 2 years ago
- 18.336 - Fast Methods for Partial Differential and Integral Equations☆189Updated last year
- A Python library for training neural ODEs.☆26Updated 11 months ago
- Studying quadrature methods applied to PINNs☆26Updated 4 years ago
- Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling☆87Updated 4 years ago
- Convolutional Solvers for Partial Differential Equations☆27Updated 5 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Scaling RLLib for generic simulation environments on Theta☆20Updated 2 years ago
- Scientific Machine Learning Tutorials☆40Updated 4 years ago
- ☆32Updated last year
- Solving differential equations in parallel on GPUs - JuliaCon 2021 workshop☆95Updated 2 years ago
- Optimization framework for nonlinear, gradient-based constrained, sparse optimization problems.☆30Updated last month
- Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks☆59Updated 9 months ago
- Stochastic Optimization under Uncertainty in Python.☆36Updated 7 months ago
- Start solving PDEs in Julia with Gridap.jl☆139Updated last month
- Differentiable interface to FEniCS for JAX☆58Updated 4 years ago
- Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.☆22Updated last month
- ☆10Updated last month
- 18.303 - Linear PDEs course☆147Updated 2 years ago
- Julia code for the book Numerical Linear Algebra☆128Updated 2 years ago
- DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia☆31Updated 2 weeks ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆33Updated 2 years ago
- This is a replication of "CFD Python: 12 steps to Navier-Stokes" in Julia☆42Updated 8 years ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆117Updated 3 years ago
- ☆35Updated 3 years ago
- A generic FEM solver by meta-expressions☆18Updated 2 years ago