HEP-ML-Resources

Listing of useful learning resources for machine learning applications in high energy physics (HEPML) (by iml-wg)

HEP-ML-Resources Alternatives

Similar projects and alternatives to HEP-ML-Resources based on common topics and language

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better HEP-ML-Resources alternative or higher similarity.

HEP-ML-Resources reviews and mentions

Posts with mentions or reviews of HEP-ML-Resources. We have used some of these posts to build our list of alternatives and similar projects.
  • Things are going downhill for me and I have no idea how to make it better. Please give me any suggestion.
    1 project | /r/delhi | 29 Jan 2021
    Heard of the Large Hadron Collider? Where scientists discovered the God particle? (or the Higgs boson?). There is a massive community of ML people involved in this project as well and sometime during your college, you can apply for open lab summer student program that takes in students from CS backgrounds to work at the LHC. (https://home.cern/news/news/computing/applications-open-2021-cern-openlab-summer-student-programme). There's also active research going in to use ML for high energy physics problem (https://indico.cern.ch/event/567550/papers/2656686/files/6959-HEPML_CWP_ACAT.pdf, https://github.com/iml-wg/HEP-ML-Resources).

Stats

Basic HEP-ML-Resources repo stats
1
325
0.0
almost 3 years ago

iml-wg/HEP-ML-Resources is an open source project licensed under MIT License which is an OSI approved license.

The primary programming language of HEP-ML-Resources is TeX.


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