Training, generation, and analysis code for Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics
☆61Aug 25, 2017Updated 8 years ago
Alternatives and similar repositories for adversarial-jets
Users that are interested in adversarial-jets are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Easy-to-use Python bindings for HepMC3☆28May 1, 2026Updated last week
- Introduction to root_numpy, pandas, Keras in simple Deep Learning application at CERN☆51Nov 16, 2017Updated 8 years ago
- Pages defining the website of the Scikit-HEP project.☆12Apr 17, 2026Updated 3 weeks ago
- A common package to provide example files (e.g., ROOT) for testing and developing packages against.☆13Updated this week
- Metapackage of Scikit-HEP project data analysis packages for Particle Physics.☆172May 1, 2026Updated last week
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- CERN PyTorch Tutorial for Jet Images generation with GANs☆10Apr 11, 2018Updated 8 years ago
- The interactive ROOT Primer based on Jupyter notebooks☆32Sep 6, 2022Updated 3 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
- Main repository for image generation and CNN training https://arxiv.org/abs/1609.00607☆24Jun 14, 2020Updated 5 years ago
- Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"☆47Sep 17, 2019Updated 6 years ago
- Hands-on boosted decision tree tutorial (using XGBoost) for September 2017 Fermilab Machine Learning Group Meeting.☆17Feb 5, 2018Updated 8 years ago
- ROOT I/O in pure Python and NumPy.☆313Feb 19, 2021Updated 5 years ago
- Lecture on Multivariate Classification for the CERN School of Computing☆16Sep 19, 2017Updated 8 years ago
- Collection of Notebook for Tutorials on TMVA☆21Feb 2, 2023Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Plugin for MadGraph5_aMC allowing for output Matrix Elements in a TensorFlow-friendly format☆11Feb 17, 2025Updated last year
- Physical pdfs and more to extend zfit☆11Apr 6, 2026Updated last month
- Pure python statistic tools for high energy physics.☆21Nov 12, 2019Updated 6 years ago
- Examples for using the ROOT Docker container.☆15Jan 25, 2018Updated 8 years ago
- This repository holds the slides and examples of the IML Keras workshop.☆11Mar 21, 2017Updated 9 years ago
- Listing of useful learning resources for machine learning applications in high energy physics (HEPML)☆357May 5, 2021Updated 5 years ago
- MLHEP 2017 slides & seminars☆26Jan 16, 2018Updated 8 years ago
- Universal Histogram Interface☆20May 2, 2026Updated last week
- Units and constants in the HEP system of units☆31Updated this week
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆28Feb 19, 2026Updated 2 months ago
- Interactive zfit tutorials☆12Apr 6, 2026Updated last month
- Tutorial Code for MLHEP pyprob☆18Jun 29, 2023Updated 2 years ago
- Library for getting your data into HEPData☆17Apr 2, 2026Updated last month
- ☆34Nov 25, 2025Updated 5 months ago
- pure-Python HistFactory implementation with tensors and autodiff☆299Apr 21, 2026Updated 2 weeks ago
- madjax☆14Nov 18, 2024Updated last year
- Machine Learning for High Energy Physics.☆198Dec 1, 2025Updated 5 months ago
- Model manipulation and fitting library based on TensorFlow and optimised for simple and direct manipulation of probability density functi…☆203Apr 8, 2026Updated last month
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Machine learning and statistics for physicists☆102Apr 15, 2021Updated 5 years ago
- Phase space generation implemented in TensorFlow☆24Apr 17, 2026Updated 3 weeks ago
- A probabilistic programming framework based on TensorFlow☆88Apr 29, 2019Updated 7 years ago
- Tutorials for the IRIS-HEP tutorial at APS DPF, July 29, 2019.☆10Jul 25, 2020Updated 5 years ago
- ☆34Oct 5, 2020Updated 5 years ago
- HEP statistics tools and utilities.☆82Apr 16, 2026Updated 3 weeks ago
- Fast, lightweight and parallelised simulation-based inference in JAX.☆23Oct 28, 2025Updated 6 months ago