SciML / StructuralIdentifiability.jl
Fast and automatic structural identifiability software for ODE systems
☆110Updated this week
Related projects: ⓘ
- CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.☆62Updated this week
- High level functions for analyzing the output of simulations☆79Updated 2 weeks ago
- Delay differential equation (DDE) solvers in Julia for the SciML scientific machine learning ecosystem. Covers neutral and retarded delay…☆59Updated last week
- Foundational tooling for handling collections of parameters in models☆72Updated 6 months ago
- Preheat your MCMC☆75Updated this week
- Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration …☆101Updated this week
- Tools for building non-allocating pre-cached functions in Julia, allowing for GC-free usage of automatic differentiation in complex codes☆111Updated last week
- Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia☆51Updated this week
- Julia package for various special functions based on `log` and `exp`.☆74Updated 3 months ago
- A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools☆55Updated last month
- Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard i…☆63Updated last week
- Solution of Lyapunov, Sylvester and Riccati matrix equations using Julia☆81Updated 2 months ago
- Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms☆56Updated last week
- Fast derivative evaluation☆113Updated this week
- Tools to generate and study moment equations for any chemical reaction network using various moment closure approximations☆44Updated last month
- An abstract interface for automatic differentiation.☆136Updated 2 months ago
- A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers☆94Updated 2 weeks ago
- An interface to various automatic differentiation backends in Julia.☆163Updated this week
- Global documentation for the Julia SciML Scientific Machine Learning Organization☆58Updated last week
- Fast uncertainty quantification for scientific machine learning (SciML) and differential equations☆65Updated 2 weeks ago
- A Julia package for simulation, inference and learning of Hidden Markov Models.☆85Updated 3 months ago
- A template for building websites with Julia. Easily publish Pluto notebooks online.☆65Updated last year
- Rigorous function approximation using Taylor models in Julia☆63Updated last month
- ☆101Updated this week
- Efficient and type-stable physical quantities in Julia☆132Updated 3 weeks ago
- Bayesian optimization for Julia☆91Updated last month
- Abstract types and interfaces for Markov chain Monte Carlo methods☆79Updated this week
- Boundary value problem (BVP) solvers for scientific machine learning (SciML)☆43Updated this week
- Automatic optimization and parallelization for Scientific Machine Learning (SciML)☆78Updated 2 years ago
- Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions☆61Updated last month