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Physics-Based Deep Learning Book

physicsbaseddeeplearning.org Books & learning Books & long-form works AI & data Candidate
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Submission timeline

2007–2026

One slot for every year since HN launched. Height is that year's peak points; orange marks a 100+ point or 50+ comment breakout. Select a bar to open its strongest thread.

Top comments

In this dense overview presentation (Oct 2022), Chris Rackauckas introduced Sci ML with diverse examples from many fields: epidemics, gravitational waves, pharmacometrics, ocean simulation... and some open source and proprietary Julia libraries for SciML. Highly informative! https://www.youtube.com/watch?v=yHiyJQdWBY8

alexb24·333-point thread·

meta comment: the website you're viewing when you click that link is generated using Jupyter Book , which is like the best thing ever https://jupyterbook.org/intro.html Imagine all the beauty of .Rmd (easily generate books by combining markdown explanations with executable cells), but adapted for the Python ecosystem (jupyter notebooks). Jupyuter-book is a really well thought-out project. You create the book with a _toc.yml file: https://github.com/tum-pbs/pbdl-book/blob/main/_toc.yml and all the config is in one…

The first top-level comment from each of the four biggest threads, in HN’s own order. Excerpts are shortened; open a comment for full context.

HN stats

Breakout years
2

100+ points or 50+ comments

Total points
530

reference only — not used in Hall rules or ranking

Total comments
48

reference only — not used in Hall rules or ranking

Every submission

DateTitle as submittedByPointsComments
2021-09-09Physics-Based Deep Learning Book (Free)sebg20
2021-09-12Physics-Based Deep Learning BookFirst breakoutAnon8419524
2024-07-11Physics-Based Deep Learning BookBest thread · Latest 20+ point returnsebg33324