Astroinformatics / ScientificMachineLearningLinks
☆36Updated last year
Alternatives and similar repositories for ScientificMachineLearning
Users that are interested in ScientificMachineLearning are comparing it to the libraries listed below
Sorting:
- Taylor-mode automatic differentiation for higher-order derivatives☆79Updated 2 months ago
- Training materials for ModelingToolkit and JuliaSim☆38Updated 2 years ago
- No need to train, he's a smooth operator☆44Updated 6 months ago
- Code for paper https://arxiv.org/abs/2306.07961☆53Updated 11 months ago
- Examples for using ApproFun.jl☆25Updated 4 months ago
- Physics-Enhanced Regression for Initial Value Problems☆20Updated last year
- Fast symbolic derivatives of runtime-generated expressions☆36Updated last month
- Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.☆22Updated last year
- A library for building differential equations arising from physical problems for physics-informed and scientific machine learning (SciML)☆51Updated 7 months ago
- Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration …☆110Updated this week
- Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks☆56Updated 2 months ago
- Fast uncertainty quantification for scientific machine learning (SciML) and differential equations☆67Updated 2 weeks ago
- Tools to generate and study moment equations for any chemical reaction network using various moment closure approximations☆45Updated this week
- Methods for computational information geometry☆46Updated this week
- A library of systems of partial differential equations, as defined with ModelingToolkit.jl in Julia☆28Updated 10 months ago
- A package for multi-dimensional integration using monte carlo methods☆39Updated last year
- Fast and automatic structural identifiability software for ODE systems☆121Updated last week
- ParameterEstimation.jl is a Julia package for estimating parameters and initial conditions of ODE models given measurement data.☆27Updated last week
- Introduction to Scientific Programming and Machine Learning with Julia☆52Updated 8 months ago
- Workshop materials for training in scientific computing and scientific machine learning☆38Updated last year
- High level functions for analyzing the output of simulations☆82Updated 4 months ago
- A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs wi…☆80Updated 4 months ago
- Julia for HPC Course @ UCL ARC☆88Updated last year
- Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia☆27Updated this week
- The SciML Scientific Machine Learning Software Organization Website☆58Updated this week
- ☆19Updated last year
- learning state-space targets in dynamical systems☆28Updated last year
- Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing☆128Updated 3 weeks ago
- Implementation of normalizing flows compatible with Bijectors.jl☆41Updated this week
- A Review of Sensitivity Methods for Differential Equations☆31Updated 6 months ago