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.☆17Updated 2 years ago
- ☆10Updated last month
- Stiff Neural Ordinary Differential Equations☆35Updated 2 years ago
- 18.303 - Linear PDEs course☆144Updated last year
- Notebook for my new solver book☆65Updated last month
- 18.336 - Fast Methods for Partial Differential and Integral Equations☆184Updated last year
- Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling☆85Updated 4 years ago
- A matlab implementation of forward automatic differentiation with operator overloading and sparse jacobians☆43Updated 6 months ago
- Gridap drivers for fluid-structure interaction applications☆27Updated 3 years ago
- Optimization framework for nonlinear, gradient-based constrained, sparse optimization problems.☆30Updated last month
- Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.☆22Updated last year
- Convolutional Solvers for Partial Differential Equations☆28Updated 5 years ago
- A set of Python notebooks to introduce the fundamentals of numerical programming using extensive examples from engineering.☆34Updated 4 years ago
- ETH course - Solving PDEs in parallel on GPUs I Fall 2025☆130Updated this week
- DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia☆25Updated last week
- A package for Gaussian random field generation in Julia☆79Updated this week
- Start solving PDEs in Julia with Gridap.jl☆136Updated 2 weeks ago
- Solving differential equations in parallel on GPUs - JuliaCon 2021 workshop☆95Updated last year
- Julia code for the book Numerical Linear Algebra☆126Updated 2 years ago
- A scientific machine learning (SciML) wrapper for the FEniCS Finite Element library in the Julia programming language☆106Updated last month
- No need to train, he's a smooth operator☆45Updated last month
- Differentiable modelling on (multi)-GPUs workshop at JuliaCon23☆47Updated 11 months ago
- Learning Green's functions of partial differential equations with deep learning.☆71Updated last year
- An integrated demo: Gaussian processes for PDEs and inverse problems☆14Updated 2 months ago
- A framework for simulating viscous incompressible flows about arbitrary body shapes.☆105Updated 2 months ago
- ☆12Updated 4 years ago
- Fully-differentiable multi physics finite-volume simulators☆69Updated last week
- Data-driven Geometric Multi-Grid solver for the discrete Poisson equation☆41Updated 3 years ago
- A generic FEM solver by meta-expressions☆18Updated 2 years ago
- Differentiable interface to FEniCS for JAX☆58Updated 4 years ago