Docs, CI Tests, Error Messages, and Interfaces in Julia's SciML - JuliaCon 2024
Explore SciML's infrastructure practices in Julia, covering documentation, testing, error handling, and benchmarking. Gain insights into scalable and reproducible numerical ecosystems for Julia developers.
JuliaSim: Machine Learning Accelerated Modeling and Simulation
Explore JuliaSim: Accelerate modeling and simulation with machine learning. Learn about fast differential equation solvers, neural network integration, and surrogate models for enhanced computational efficiency.
Solving Fractional Differential Equations with FractionalDiffEq.jl
Discover how to solve complex fractional differential equations using FractionalDiffEq.jl, a powerful Julia package that integrates with SciML for advanced mathematical modeling and scientific computing.
Hierarchical Component-Based Modeling with ModelingToolkit.jl
Explore hierarchical component-based modeling using ModelingToolkit.jl for efficient simulation of complex systems. Learn to build, simplify, and analyze large-scale models with Julia's SciML ecosystem.
PEtab.jl - Efficient Parameter Estimation for Dynamic Models
Explore efficient parameter estimation for dynamic models in biology using PEtab.jl. Learn to import problems, set up estimations, and choose optimal gradient computation methods.
Model Reparametrization with StructuralIdentifiability.jl - JuliaCon 2024
Explore StructuralIdentifiability.jl's new features for rapid identification of identifiable functions and model reparametrization, enhancing modeling and control practices.
FMIExchange.jl - Foreign Models Through a Familiar Interface
Explore FMIExchange.jl for seamless integration of FMI-compliant models with Julia's DifferentialEquations.jl, enabling multi-model simulations and advanced control strategies in complex systems.
Combined Stochastic Models for Cancer Patient Trajectories
Integrating diverse clinical data into a unified stochastic model for cancer patient trajectories, combining tumor growth, metastasis, and survival data using Julia for simulation and Bayesian inference.
State of Julia's SciML Ecosystem - Current Status and Future Directions
Comprehensive overview of Julia's SciML ecosystem, highlighting maturity levels of various packages, current development focus, and future directions in scientific machine learning and differential equations.