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 40 physics ml education frameworks tracked. 9 score above 50 (established tier). The highest-rated is arogozhnikov/hep_ml at 64/100 with 197 stars.

Get all 40 projects as JSON

curl "https://pt-edge.onrender.com/api/v1/datasets/quality?domain=ml-frameworks&subcategory=physics-ml-education&limit=20"

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#	Framework	Score	Tier	Stars	Language
1	arogozhnikov/hep_ml Machine Learning for High Energy Physics.	64	Established	197	Jupyter Notebook
2	CompPhysics/ComputationalPhysics2 Advanced course in Computational Physics, see texbook at...	59	Established	211	—
3	FNALLPC/machine-learning-hats FNAL LPC Machine Learning HATS	56	Established	18	Jupyter Notebook
4	DeepLearningForPhysicsResearchBook/deep-learning-physics This project contains additional material for the textbook Deep Learning for...	55	Established	73	Jupyter Notebook
5	desy-ml/cheetah Fast and differentiable particle accelerator optics simulation for...	54	Established	63	Python
6	iml-wg/HEPML-LivingReview Living Review of Machine Learning for Particle Physics	53	Established	423	TeX
7	FNALLPC/machine-learning-das Machine Learning DAS Short Exercise with CMS Open Data	52	Established	12	Jupyter Notebook
8	InfectionMedicineProteomics/BINN Generating biologically informed neural networks	51	Established	59	Jupyter Notebook
9	iml-wg/HEP-ML-Resources Listing of useful learning resources for machine learning applications in...	50	Established	354	TeX
10	dkirkby/MachineLearningStatistics Machine learning and statistics for physicists	47	Emerging	102	Jupyter Notebook
11	jmduarte/phys139_239 UCSD PHYS 139/239: Machine Learning in Physics (Fall 2025)	46	Emerging	19	Jupyter Notebook
12	msuzen/isingLenzMC isingLenzMC: Monte Carlo for Classical Ising Model (with core C library)	46	Emerging	55	Jupyter Notebook
13	GiggleLiu/marburg physics meets neural networks	46	Emerging	104	Jupyter Notebook
14	FlorianMarquardt/machine-learning-for-physicists Code for "Machine Learning for Physicists" lecture series by Florian Marquardt	45	Emerging	326	Jupyter Notebook
15	MaterSim/ComputationalPhysics300 computational physics class taught at UNLV (Phys300)	42	Emerging	133	Jupyter Notebook
16	Emergent-Behaviors-in-Biology/mlreview_notebooks Notebooks for "A high bias low-variance introduction to Machine Learning for...	39	Emerging	75	Jupyter Notebook
17	sraeisi/MachineLearning_Physics This is to facilitate the “Machine Learning in Physics” course that I am...	39	Emerging	71	Jupyter Notebook
18	cifkao/nopdb NoPdb: Non-interactive Python Debugger	38	Emerging	84	Python
19	pedrojuanbj/MLTSA Machine Learning Transition State Analysis (MLTSA) suite with Analytical...	35	Emerging	7	Jupyter Notebook
20	theoria-dataset/theoria-dataset Building a curated, high-quality dataset of Theoretical Physics equations...	34	Emerging	11	Jupyter Notebook
21	m2aia/pym2aia pyM²aia is a Python package for memory-efficient access and processing of...	34	Emerging	8	Jupyter Notebook
22	MonitSharma/Computational-High-Energy-Physics These are the codes used in High Energy Physics simulations, particularly...	32	Emerging	12	Jupyter Notebook
23	emmaking-smith/HiTEA The High Throughput Experimentation Analyzer (HiTEA) modules as described in...	32	Emerging	12	Python
24	jmduarte/Nomological_Net_ML_Particle_Physics Nomological Net for ML in Particle Physics	31	Emerging	3	TeX
25	JP-Amboage/performance-pred Code developed during my internship at CERN Openlab in summer 2022	30	Emerging	6	Jupyter Notebook
26	alaha999/MLPhyCourse ML application in Physics PH6232	28	Experimental	5	Jupyter Notebook
27	hepai-lab/hepai This is High energy AI Framework (HAI) for models, datasets and applications	28	Experimental	10	Python
28	haimengzhao/juno-reconstruction Neutrino energy reconstruction program in Jiangmen Underground Neutrino...	22	Experimental	6	HTML
29	alexpg7/Background-Signal-Analysis A project made to filter the true signal from the background of a detector.	21	Experimental	1	Jupyter Notebook
30	aditya-marathe/msci-project Using deep learning techniques to measure neutrino oscillations. (MSci Project)	19	Experimental	3	Jupyter Notebook
31	MALAPA-Collab/cheetah-tutorial-2025 "Differentiable Simulations" tutorial presented at the 5th MaLAPA workshop...	19	Experimental	3	HTML
32	llnl/PhyML Physics based Machine Learning	18	Experimental	2	—
33	Shk1r/Physics-Driven-Event-Classification Physics-aware machine learning study for event classification in high-energy physics.	17	Experimental	1	Jupyter Notebook
34	Sampreet/python-for-physicists A series of programming tutorials in Python aimed for physicists.	13	Experimental	14	Jupyter Notebook
35	manduca-a/QUANTUM-TRAJECTORIES Progetto QUANTUM-TRAJECTORIES Unical - DEEP LEARNING Addestramento di...	13	Experimental	—	Jupyter Notebook
36	jhakrraman/Physics-Informed-Machine-Learning-NYU-Spring-2025 This repository contains all Assignments and Lecture Slides from the Physics...	12	Experimental	3	—
37	wyspa11/Particle-classification Classification atmospheric muons vs neutrinos using KNN and GBDT	11	Experimental	—	Jupyter Notebook
38	rohannakra/AI-Predicts-Particle-Collisions Source code for particle physics research paper.	11	Experimental	3	HTML
39	taolicheng/ML4LHC Tutorial for the basic workflow of practicing machine learning in the LHC physics	11	Experimental	—	—
40	Axect/Pomelo Positron's Milky Way Energy Loss using Operator learning	11	Experimental	—	—

Comparisons in this category

HEPML-LivingReview and HEP-ML-Resources (53 vs 50) hep_ml and HEP-ML-Resources (64 vs 50) ComputationalPhysics2 and ComputationalPhysics300 (59 vs 42) deep-learning-physics and MachineLearning_Physics (55 vs 39) machine-learning-hats and machine-learning-das (56 vs 52)