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Fundamentals of Neuroscience, Part 1: The Electrical Properties of the Neuron
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Explore streamlined machine learning workflows in Julia, integrating package development principles and MLflow for robust, reproducible, and scalable model creation and management.
Explore next-gen stability analysis in dynamical systems with Attractors.jl. Discover multistability detection, global stability quantification, and extendable interfaces for advanced applications in Julia.
Explore finite element modeling of magnetic fields using Julia in this TU Delft master course. Implement mathematical models and collaborate on real-world projects with industry partners.
Explore GreenSpeed, an innovative Julia-based application for calculating sustainability KPIs in chemical synthesis. Learn how it integrates lab data, visualizes material flow, and empowers informed decision-making for greener production practices.
Explore automatic differentiation in Julia, comparing approaches with Python frameworks and learning to make code differentiable for various backends. Gain insights into forward and reverse modes, custom rules, and performance optimization.
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.
Explore SpectralIndices.jl, a Julia package simplifying spectral indices computation in remote sensing. Learn its features, data compatibility, and user-friendly interface for efficient Earth system research analysis.
Explore literate programming techniques for enhancing reproducibility in scientific research, focusing on Entangled's approach to synchronizing code and documentation in natural science modeling.
Explore radiative heat transfer in 2D enclosures using RayTraceHeatTransfer.jl. Master Monte Carlo ray tracing, Exchange Factor matrices, and the Zonal Method for efficient problem-solving in high-temperature environments and engineering applications.
Explore NetSurvival.jl for survival analysis in Julia, featuring insights on relative survival tools and future developments in the field.
Learn Julia's unique features, syntax, and data structures in this comprehensive workshop. Ideal for programmers new to Julia, covering multiple dispatch, type system, and essential packages.
Hands-on workshop exploring Julia for high-performance computing on CPUs and GPUs. Learn resource management, distributed computing, code optimization, and develop a parallel application on NERSC's Perlmutter supercomputer.
Explore Rust integration with Julia, covering LSP setup, common pitfalls, binding generation, benchmarking, and performance optimization techniques for seamless interoperability.
Hands-on workshop on creating personalized computational models in Julia for biomedical applications, covering ODE implementation, parameter estimation, and model selection strategies.
Hands-on workshop integrating physical system knowledge into machine learning using Functional Mock-Up Units. Explore hybrid modeling with a robotic arm case study, combining simulation and neural networks.
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