https://github.com/mohamedelashri/hep-ml
My Machine Learning applications in High energy physics learning journey.
https://github.com/mohamedelashri/hep-ml
Last synced: 7 months ago
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My Machine Learning applications in High energy physics learning journey.
- Host: GitHub
- URL: https://github.com/mohamedelashri/hep-ml
- Owner: MohamedElashri
- License: apache-2.0
- Created: 2020-08-17T07:00:52.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2021-05-05T04:54:19.000Z (over 4 years ago)
- Last Synced: 2025-01-13T19:47:11.270Z (9 months ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 73.4 MB
- Stars: 3
- Watchers: 4
- Forks: 2
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# HEP-ML
My Machine Learning applications in High energy physics learning journey.
## Tutorials
- [5th Machine Learning in High Energy Physics Summer School 2019](https://indico.cern.ch/event/768915/) (July 1-10, 2019)
- Associated [Yandex School of Data Analysis](https://github.com/yandexdataschool) repo: [mlhep2019](https://github.com/yandexdataschool/mlhep2019)
## Projects
- [Higgs Kaggle Challenge Solution.](https://github.com/MohamedElashri/HEP-ML/blob/master/projects/Higgs%20challenge%20School/Higgs_Boson_Challange.ipynb)
- [MiniBooNE Particle Identification ](https://github.com/MohamedElashri/HEP-ML/blob/master/projects/MicroBooNE%20Particle%20Identification/MicroBooNE_Particle_Identification.ipynb) - [**Accompanying blog post**](https://melashri.xyz/blog/miniboone-particle-identification/)
- [Higgs Classification Problem.](https://github.com/MohamedElashri/HEP-ML/blob/master/projects/Higgs%20challenge/Higgs.ipynb)
- [Generating Theoretical particle physics abstracts using NLP.](https://github.com/MohamedElashri/HEP-ML/blob/master/Projects/NLP/NLP.ipynb)
- [Experimenting Machine Learning Techniques on SUSY dataset](https://github.com/MohamedElashri/SUSY).
## Resources
- [Machine Learning in High Energy Physics paper](https://arxiv.org/abs/1807.02876): Machine Learning in High Energy Physics Community White Paper
- [LUMIN Unifies Many Improvements for Networks](https://pypi.org/project/lumin/): A PyTorch wrapper to make deep learning more accessable to scientists
- [Scikit-HEP](http://scikit-hep.org/): Toolset of interfaces and Python tools for Particle Physics