Physics ML Education ML Frameworks

Educational courses, tutorials, and lecture materials teaching machine learning applications in physics and physical sciences. Includes domain-specific physics problems (particle classification, neutrino detection, high-energy physics). Does NOT include general ML frameworks, physics simulations without ML focus, or non-educational research papers.

There are 35 physics ml education frameworks tracked. 4 score above 50 (established tier). The highest-rated is arogozhnikov/hep_ml at 67/100 with 197 stars and 13,925 monthly downloads.

Get all 35 projects as JSON

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#	Framework	Score	Tier	Stars	Language
1	arogozhnikov/hep_ml Machine Learning for High Energy Physics.	67	Established	197	Jupyter Notebook
2	CompPhysics/ComputationalPhysics2 Advanced course in Computational Physics, see texbook at...	55	Established	211	—
3	DeepLearningForPhysicsResearchBook/deep-learning-physics This project contains additional material for the textbook Deep Learning for...	51	Established	73	Jupyter Notebook
4	desy-ml/cheetah Fast and differentiable particle accelerator optics simulation for...	50	Established	63	Python
5	FNALLPC/machine-learning-hats FNAL LPC Machine Learning HATS	49	Emerging	18	Jupyter Notebook
6	iml-wg/HEPML-LivingReview Living Review of Machine Learning for Particle Physics	46	Emerging	423	TeX
7	FNALLPC/machine-learning-das Machine Learning DAS Short Exercise with CMS Open Data	45	Emerging	12	Jupyter Notebook
8	InfectionMedicineProteomics/BINN Generating biologically informed neural networks	44	Emerging	59	Jupyter Notebook
9	iml-wg/HEP-ML-Resources Listing of useful learning resources for machine learning applications in...	43	Emerging	354	TeX
10	dkirkby/MachineLearningStatistics Machine learning and statistics for physicists	40	Emerging	102	Jupyter Notebook
11	jmduarte/phys139_239 UCSD PHYS 139/239: Machine Learning in Physics (Fall 2025)	39	Emerging	19	Jupyter Notebook
12	msuzen/isingLenzMC isingLenzMC: Monte Carlo for Classical Ising Model (with core C library)	39	Emerging	55	Jupyter Notebook
13	GiggleLiu/marburg physics meets neural networks	39	Emerging	104	Jupyter Notebook
14	FlorianMarquardt/machine-learning-for-physicists Code for "Machine Learning for Physicists" lecture series by Florian Marquardt	38	Emerging	326	Jupyter Notebook
15	MaterSim/ComputationalPhysics300 computational physics class taught at UNLV (Phys300)	35	Emerging	133	Jupyter Notebook
16	sraeisi/MachineLearning_Physics This is to facilitate the “Machine Learning in Physics” course that I am...	32	Emerging	71	Jupyter Notebook
17	Emergent-Behaviors-in-Biology/mlreview_notebooks Notebooks for "A high bias low-variance introduction to Machine Learning for...	32	Emerging	75	Jupyter Notebook
18	cifkao/nopdb NoPdb: Non-interactive Python Debugger	31	Emerging	84	Python
19	theoria-dataset/theoria-dataset Building a curated, high-quality dataset of Theoretical Physics equations...	31	Emerging	11	Jupyter Notebook
20	pedrojuanbj/MLTSA Machine Learning Transition State Analysis (MLTSA) suite with Analytical...	28	Experimental	7	Jupyter Notebook
21	m2aia/pym2aia pyM²aia is a Python package for memory-efficient access and processing of...	27	Experimental	8	Jupyter Notebook
22	MonitSharma/Computational-High-Energy-Physics These are the codes used in High Energy Physics simulations, particularly...	25	Experimental	12	Jupyter Notebook
23	emmaking-smith/HiTEA The High Throughput Experimentation Analyzer (HiTEA) modules as described in...	25	Experimental	12	Python
24	jmduarte/Nomological_Net_ML_Particle_Physics Nomological Net for ML in Particle Physics	24	Experimental	3	TeX
25	JP-Amboage/performance-pred Code developed during my internship at CERN Openlab in summer 2022	23	Experimental	6	Jupyter Notebook
26	hepai-lab/hepai This is High energy AI Framework (HAI) for models, datasets and applications	21	Experimental	10	Python
27	alaha999/MLPhyCourse ML application in Physics PH6232	21	Experimental	5	Jupyter Notebook
28	Shk1r/Physics-Driven-Event-Classification Physics-aware machine learning study for event classification in high-energy physics.	15	Experimental	1	Jupyter Notebook
29	alexpg7/Background-Signal-Analysis A project made to filter the true signal from the background of a detector.	15	Experimental	1	Jupyter Notebook
30	haimengzhao/juno-reconstruction Neutrino energy reconstruction program in Jiangmen Underground Neutrino...	15	Experimental	6	HTML
31	wyspa11/Particle-classification Classification atmospheric muons vs neutrinos using KNN and GBDT	14	Experimental	—	Jupyter Notebook
32	MALAPA-Collab/cheetah-tutorial-2025 "Differentiable Simulations" tutorial presented at the 5th MaLAPA workshop...	14	Experimental	3	HTML
33	aditya-marathe/msci-project Using deep learning techniques to measure neutrino oscillations. (MSci Project)	12	Experimental	3	Jupyter Notebook
34	llnl/PhyML Physics based Machine Learning	11	Experimental	2	—
35	manduca-a/QUANTUM-TRAJECTORIES Progetto QUANTUM-TRAJECTORIES Unical - DEEP LEARNING Addestramento di...	11	Experimental	—	Jupyter Notebook

Comparisons in this category

HEPML-LivingReview and HEP-ML-Resources (46 vs 43) hep_ml and HEP-ML-Resources (67 vs 43) ComputationalPhysics2 and ComputationalPhysics300 (55 vs 35) deep-learning-physics and MachineLearning_Physics (51 vs 32)