Astroinformatics / ScientificMachineLearningLinks
☆36Updated 2 years ago
Alternatives and similar repositories for ScientificMachineLearning
Users that are interested in ScientificMachineLearning are comparing it to the libraries listed below
Sorting:
- Training materials for ModelingToolkit and JuliaSim☆38Updated 3 years ago
- Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.☆22Updated last month
- No need to train, he's a smooth operator☆45Updated last month
- Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks☆59Updated 10 months ago
- Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing☆131Updated this week
- Taylor-mode automatic differentiation for higher-order derivatives☆81Updated this week
- Fast uncertainty quantification for scientific machine learning (SciML) and differential equations☆71Updated 3 weeks ago
- Ridiculously fast symbolic expressions☆130Updated this week
- The SciML Scientific Machine Learning Software Organization Website☆70Updated this week
- Physics-Enhanced Regression for Initial Value Problems☆20Updated last year
- Global documentation for the Julia SciML Scientific Machine Learning Organization☆87Updated this week
- A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools☆90Updated last month
- ☆40Updated 4 years ago
- A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in s…☆63Updated 3 weeks ago
- Stochastic Optimization, Learning, Uncertainty and Sampling☆89Updated last week
- A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs wi…☆84Updated last month
- A library of systems of partial differential equations, as defined with ModelingToolkit.jl in Julia☆28Updated 3 weeks ago
- Fast and automatic structural identifiability software for ODE systems☆126Updated last week
- A library for building differential equations arising from physical problems for physics-informed and scientific machine learning (SciML)☆52Updated last month
- DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia☆31Updated this week
- Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration …☆120Updated this week
- Fast matrix multiplication and division for Toeplitz matrices in Julia☆73Updated last month
- learning state-space targets in dynamical systems☆28Updated last year
- Why multiple dispatch lets you write composable code☆40Updated 5 years ago
- SciML-Bench Benchmarks for Scientific Machine Learning (SciML), Physics-Informed Machine Learning (PIML), and Scientific AI Performance☆25Updated 2 weeks ago
- Structure Preserving Machine Learning Models in Julia☆54Updated this week
- Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions☆63Updated 3 weeks ago
- A Julia framework for implementing FFTs☆131Updated 2 months ago
- Tools to generate and study moment equations for any chemical reaction network using various moment closure approximations☆47Updated last month
- Implicit Layer Machine Learning via Deep Equilibrium Networks, O(1) backpropagation with accelerated convergence.☆59Updated 2 weeks ago