# arogozhnikov/hep\_ml

<https://repo.masters-masters.com/en/repos/arogozhnikov/hep_ml>

[Home](https://repo.masters-masters.com/en) › [arogozhnikov](https://repo.masters-masters.com/en/owners/arogozhnikov) › [hep\_ml](https://repo.masters-masters.com/en/repos/arogozhnikov/hep_ml)

arogozhnikov/hep\_ml has 199 stars on GitHub. Its RepoMasters card: Prototype tier. Machine Learning for High Energy Physics. Language: Jupyter Notebook.

| Field | Value |
| --- | --- |
| Owner | [arogozhnikov](https://repo.masters-masters.com/en/owners/arogozhnikov) |
| Stars | 199 |
| Forks | 70 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2015 |
| Topics | machine-learning, high-energy-physics, python, splot, neural-networks, boosting-algorithms, reweighting-algorithms, scikit-learn |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [arogozhnikov/hep\_ml](https://github.com/arogozhnikov/hep_ml) |

## Repository

Machine Learning for High Energy Physics.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.