arogozhnikov/hep_ml

Machine Learning for High Energy Physics.

/ 100

Established

197 stars and 13,925 monthly downloads. Available on PyPI.

Maintenance 6 / 25

Adoption 20 / 25

Maturity 18 / 25

Community 23 / 25

Stars

197

Forks

Language

Jupyter Notebook

License

—

Category

Last pushed

Dec 01, 2025

Monthly downloads

13,925

Commits (30d)

Dependencies

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/arogozhnikov/hep_ml"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Compare

CompPhysics/ComputationalPhysics2

Advanced course in Computational Physics, see texbook at...

DeepLearningForPhysicsResearchBook/deep-learning-physics

This project contains additional material for the textbook Deep Learning for Physics Research by...

desy-ml/cheetah

Fast and differentiable particle accelerator optics simulation for reinforcement learning and...

FNALLPC/machine-learning-hats

FNAL LPC Machine Learning HATS

iml-wg/HEPML-LivingReview

Living Review of Machine Learning for Particle Physics