Alex Rogozhnikov
arogozhnikov.github.io · Personal blog · on HN since 2016
Alex Rogozhnikov, a machine learning researcher, writes explanatory posts with interactive visualizations on topics like Hamiltonian Monte Carlo and gradient boosting.
What HN saysHN commenters point to his MCMC and Hamiltonian Monte Carlo post as a nice explanation with good visualizations, and to his Python and Fortran binding post.
21HN people shared it
3linked it in comments
28stories submitted
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Most-shared posts
- 1Hamiltonian Monte Carlo explained6 people · 223 points · first shared 2016 · 17 comments on HN
- 2Marching neural network5 people · 120 points · first shared 2017 · 11 comments on HN
- 3Don't write command-line interfaces (and how to write if you have to)2 people · 15 points · first shared 2020 · 24 comments on HN
- 4Reconstructing pictures with machine learning2 people · 14 points · first shared 2016 · 1 comments on HN
- 5Jupyter (IPython) notebooks features2 people · 9 points · first shared 2016 · discussion on HN
- 6Gradient Boosting Interactive Playground2 people · 3 points · first shared 2016 · discussion on HN
- 7Gradient Boosting Explained in 3D1 people · 105 points · first shared 2016 · 15 comments on HN
- 8Fastest autograd in the West1 people · 90 points · first shared 2024 · 46 comments on HN
- 9Machine Learning in Science and Industry Slides1 people · 3 points · first shared 2017 · discussion on HN
- 10Things I wish someone told me about microscopy (2020)1 people · 2 points · first shared 2022 · discussion on HN
- 11Einops, Retrospective of 5 Years1 people · 2 points · first shared 2023 · discussion on HN
- 12Writing a better code with pytorch and einops1 people · 2 points · first shared 2019 · discussion on HN
- 13Delimiter-First Code1 people · 2 points · first shared 2022 · 1 comments on HN
- 14Interactive demonstrations for ML courses (2016)1 people · 1 points · first shared 2018 · discussion on HN
- 15Numbers that lie to you (2020)1 people · 1 points · first shared 2021 · discussion on HN
What HN people wrote when they linked it
credit_guy · 2020-12-09
Good paper indeed. And here's a nice blog post with nice visualizations for MCMC and Hamiltonian MC.
https://arogozhnikov.github.io/2016/12/19/markov_chain_monte_carlo.htm…
signa11 · 2018-12-06
described here:
http://arogozhnikov.github.io/2013/07/20/blog-post.html
sametmax · 2017-10-16
Why not using both ? You can reuse existing fortran code withing Python, and benefit from the prior experience and speed while enjoying the qualities of Python.
There are several ways to bind Python and fortran together. E.G http://arogozhnikov.github.io/2015/11/29/using-fortran-from-python.htm…