ODINN-SciML / DiffEqSensitivity-ReviewLinks
A Review of Sensitivity Methods for Differential Equations
☆31Updated 9 months ago
Alternatives and similar repositories for DiffEqSensitivity-Review
Users that are interested in DiffEqSensitivity-Review are comparing it to the libraries listed below
Sorting:
- A Julia package to construct orthogonal polynomials, their quadrature rules, and use it with polynomial chaos expansions.☆123Updated last month
- Taylor-mode automatic differentiation for higher-order derivatives☆80Updated last month
- Fast uncertainty quantification for scientific machine learning (SciML) and differential equations☆69Updated last week
- Package for approximation of solutions to matrix differential equations or time-dependent matrices via dynamically evolving low rank deco…☆18Updated 10 months ago
- Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia☆58Updated last month
- High-level model-order reduction to automate the acceleration of large-scale simulations☆40Updated last week
- FractionalCalculus.jl: A Julia package for high performance, comprehensive and high precision numerical fractional calculus computing.☆40Updated last month
- No need to train, he's a smooth operator☆45Updated last month
- Julia package for the creation of optimised Latin Hypercube Sampling Plans☆38Updated 2 years ago
- A package for Gaussian random field generation in Julia☆79Updated this week
- ☆53Updated 2 months ago
- Julia implementation of the Kolmogorov-Arnold network with custom gradients for fast training.☆79Updated last month
- GPU Programming with Julia 2023 - course at the Swiss National Supercomputing Centre (CSCS), ETH Zurich☆107Updated 2 months ago
- Differentiable modelling on (multi)-GPUs workshop at JuliaCon23☆47Updated 11 months ago
- Implements Optimization and approximate uncertainty quantification algorithms, Ensemble Kalman Inversion, and Ensemble Kalman Processes.☆106Updated this week
- Lectures, code and material for the Modelling and Machine Learning of Dynamical Systems in Julia lecture at Technical University Munich☆12Updated last month
- Uncertainty Quantification in Julia☆45Updated 2 weeks ago
- A tutorial on how to work around ‘Mutating arrays is not supported’ error while performing automatic differentiation (AD) using the Julia…☆30Updated 4 years ago
- ☆20Updated 2 years ago
- Easy-to-use Spherical Harmonics, based on FastTransforms.jl☆24Updated last year
- Stochastic Optimization, Learning, Uncertainty and Sampling☆88Updated 3 weeks ago
- A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs wi…☆81Updated 3 weeks ago
- Symbolic-Numeric Neural DAEs and Universal Differential Equations for Automating Scientific Machine Learning (SciML)☆34Updated last week
- Examples for using ApproFun.jl☆25Updated 8 months ago
- ParameterEstimation.jl is a Julia package for estimating parameters and initial conditions of ODE models given measurement data.☆30Updated this week
- Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks☆58Updated 5 months ago
- This is a Julia package of nonlinear solvers. These codes are used in my book, Solving Nonlinear Equations with Iterative Methods: Solver…☆121Updated 2 weeks ago
- Automates steady and unsteady adjoints (general solvers and ODEs respectively). Forward and reverse mode algorithmic differentiation arou…☆29Updated last month
- A collection of B-spline tools in Julia☆60Updated 3 weeks ago
- Inverse modelling framework for dynamical systems characterised by complex dynamics.☆13Updated 2 months ago