
Julia Epi
@epijulia
#OpenSource research community developing an epidemiological data management and simulation modelling ecosystem in #JuliaLang.
ID: 1552959547735687168
https://github.com/JuliaEpi 29-07-2022 10:10:18
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Check out my new video of training a Physics-Informed Neural Network (#PINN) to become the solution to a simple 1D boundary value problem based on the Poisson equation in the The Julia Language: youtu.be/Xfb7tqs7gQA 🧵 A thread on implementing PINNs in Julia

📢Finally out the #JuliaCon 2023 talk “MultilayerGraphs.jl: Multilayer Network Science in Julia” presented by Pietro Monticone and Claudio Moroni at Massachusetts Institute of Technology (MIT) MIT CSAIL! 🌐 Website pretalx.com/juliacon2023/t… 📹 Video youtu.be/Q2PwKQCkZJ4 📑 Slides inphyt.github.io/Talks/2023/Jul…





JuliaCon 2024 is coming! Check out the announcement by Ranjan Anantharaman! discourse.julialang.org/t/juliacon-glo… #Juliacon #julialang #DataScience #DataAnalytics



Just arrived in 🇮🇹 for #Epidemics9 ! If you're around, save some energy for the Thursday poster session, where I'll be showcasing 2 related projects 🤓 In the meantime, look our for more talks/posters from our labs Institut Pasteur, since 1887 EMEA and MESuRS Cnam during the week!





Stephen Wild Sam Abbott (@[email protected]) The turing docs have some pretty good examples. If you're an infectious disease person, you might like the covid replication study from 2020. It's a relatively large model, not sure if you want simple stuff or applied stuff. turing.ml/dev/posts/2020… github.com/cambridge-mlg/…

Sam Abbott (@[email protected]) Stephen Wild Even Better Cameron Pfiffer 📎 I'm perpetually dissatisfied with project code (even my own), so I can't really recommend any of that. In terms of packages, I can recommend one of my own: github.com/arviz-devs/PSI…. It's pretty representative of what I think are good practices in terms of tests, GH actions, etc.
