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MLJ: Machine Learning in Julia | Anthony Blaom | JuliaCon 2019
MLJ at The Alan Turing Institute
MLJ - Machine Learning for Julia
JuliaSim Modeling Language: Composing Complex Systems with MTK | Tiller | JuliaCon 2024
Advanced Model Composition in ApplicationDrivenLearning.jl | Giovanni Amorim
Practical Acausal Component-Based Modeling for Engineering Systems with ModelingToolkit.jl in Julia
Training deep learners and other iterative models with MLJ | Anthony Bloam | JuliaCon2021
Composing Modeling and Simulation with Machine Learning in Julia
Machine learning in Julia – Introduction (MLJ.jl)
Causal vs Acausal Modeling By Example: Why Julia ModelingToolkit.jl Scales (Chris Rackauckas, SciML)
Transformations 2: Composability and Linearity | MIT Computational Thinking Spring 2021 | Lecture 4
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Last Updated: October 17, 2026
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Workshop code: github.com/ablaom/MachineLearningInJulia2020 Thibaut Lienart will speak about ModelingToolkit.jl is a system for building reusable components for a "don't repeat yourself" way of doing scientific This poster was presented at JuliaCon2021. Abstract: In this paper we introduce JuliaSim, a high-performance programming environment designed to blend traditional Machine learning. Data science. Julia. First exploration of the features of Julia's "MLJ" package dedicated to machine ... Questions, Comments, or the ? Join us join on Discord: discord.gg/GnE7XcVs for live and after lecture chats. For more ...