Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation
☆113Jun 8, 2024Updated 2 years ago
Alternatives and similar repositories for CaloGAN
Users that are interested in CaloGAN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Training, generation, and analysis code for Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Phys…☆61Aug 25, 2017Updated 8 years ago
- Introduction to root_numpy, pandas, Keras in simple Deep Learning application at CERN☆51Nov 16, 2017Updated 8 years ago
- Machine Learning for High Energy Physics.☆198Dec 1, 2025Updated 6 months ago
- A framework for fast simulation of a generic collider experiment☆118Jun 5, 2026Updated last week
- Physical pdfs and more to extend zfit☆11Apr 6, 2026Updated 2 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆34Nov 25, 2025Updated 6 months ago
- Machine Learning in High Energy Physics 2016☆77Oct 14, 2019Updated 6 years ago
- ☆34Oct 5, 2020Updated 5 years ago
- Conda recipes for building ROOT 5 and ROOT 6 binaries, root_numpy, rootpy, root_pandas, with both Python 2 and Python 3 support.☆29Feb 13, 2019Updated 7 years ago
- light NN client☆110Apr 29, 2026Updated last month
- active learning + reusable workflows + likelihood free inference☆61Jun 10, 2017Updated 9 years ago
- Metapackage of Scikit-HEP project data analysis packages for Particle Physics.☆174Updated this week
- Tutorial Code for MLHEP pyprob☆18Jun 29, 2023Updated 2 years ago
- Official implementation of "Particle Transformer for Jet Tagging".☆126May 13, 2024Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- SModelS☆16Updated this week
- Listing of useful learning resources for machine learning applications in high energy physics (HEPML)☆360May 5, 2021Updated 5 years ago
- Pure python statistic tools for high energy physics.☆21Nov 12, 2019Updated 6 years ago
- Plot with matplotlib using ATLAS style☆12Jun 23, 2020Updated 5 years ago
- ATLAS Run 2 and Run 3 analysis framework for AnalysisTop and AnalysisBase for proton-smashing physics☆43May 20, 2026Updated 3 weeks ago
- a set of Dockerfiles defining docker containers for HEP software and appliances.☆17Mar 24, 2018Updated 8 years ago
- For developing and reproducing ML + HEP projects.☆30Jun 1, 2026Updated 2 weeks ago
- Machine learning–based inference toolkit for particle physics☆93Nov 11, 2024Updated last year
- playground for generative models☆11Jun 23, 2024Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Extended histogram plotting on top of matplotlib and HEP collaboration compatible styling☆219Updated this week
- Website for Particle Physics Domain (UCSD Capstone)☆12Oct 23, 2021Updated 4 years ago
- Python libraries of interest to particle physicists. This is meant for educational purposes.☆140Apr 13, 2026Updated 2 months ago
- Basic tools and wrappers for enabling not-too-alien syntax when running columnar Collider HEP analysis.☆142Jun 9, 2026Updated last week
- Lightweight Python interface to read and write Les Houches Event (LHE) files☆50Updated this week
- ☆23Feb 27, 2016Updated 10 years ago
- Lifelong Variational Autoencoder☆15Dec 6, 2017Updated 8 years ago
- Python package for the EnergyFlow suite of tools.☆42Aug 11, 2025Updated 10 months ago
- Easy-to-use Python bindings for HepMC3☆28Jun 8, 2026Updated last week
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Model manipulation and fitting library based on TensorFlow and optimised for simple and direct manipulation of probability density functi…☆203Apr 8, 2026Updated 2 months ago
- Neural network architecture that is fully equivariant with respect to transformations under the Lorentz group, a fundamental symmetry of …☆50Mar 10, 2022Updated 4 years ago
- Liquid Argon Computer Vision☆12Dec 4, 2025Updated 6 months ago
- A class over Computational Physics in Jupyter☆38Mar 14, 2020Updated 6 years ago
- Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"☆47Sep 17, 2019Updated 6 years ago
- Excursion Set Estimation☆22Sep 23, 2021Updated 4 years ago
- MLHEP-18 slides and stuff☆26Aug 14, 2018Updated 7 years ago