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gdalle/README.md

Hi there 👋

I am a postdoctoral researcher in machine learning at EPFL, working between the labs IdePHICS, SPOC and INDY. My current research focuses on the behavior of graph neural networks.

Between 2019 and 2022, I was a PhD student at École des Ponts (CERMICS), and then a teaching assistant at MIT (JuliaLab).

Check out my PhD Resources website for students and researchers 🔬

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  1. JuliaDiff/DifferentiationInterface.jl JuliaDiff/DifferentiationInterface.jl Public

    An interface to various automatic differentiation backends in Julia.

    Julia 194 14

  2. modernjuliaworkflows/modernjuliaworkflows.github.io modernjuliaworkflows/modernjuliaworkflows.github.io Public

    Blog posts on best practices for Julia development

    CSS 185 18

  3. JuliaDecisionFocusedLearning/ImplicitDifferentiation.jl JuliaDecisionFocusedLearning/ImplicitDifferentiation.jl Public

    Automatic differentiation of implicit functions

    Julia 123 6

  4. HiddenMarkovModels.jl HiddenMarkovModels.jl Public

    A Julia package for simulation, inference and learning of Hidden Markov Models.

    Julia 88 7

  5. JuliaDecisionFocusedLearning/InferOpt.jl JuliaDecisionFocusedLearning/InferOpt.jl Public

    Combinatorial optimization layers for machine learning pipelines

    Julia 116 4

  6. JuliaGraphs/Graphs.jl JuliaGraphs/Graphs.jl Public

    An optimized graphs package for the Julia programming language

    Julia 465 92