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:
- Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation☆113Jun 8, 2024Updated 2 years ago
- Easy-to-use Python bindings for HepMC3☆28Jun 8, 2026Updated last week
- Introduction to root_numpy, pandas, Keras in simple Deep Learning application at CERN☆51Nov 16, 2017Updated 8 years ago
- hep-analysis aims to reproduce the traditional data-analysis workflow in high-energy physics using Python.☆10May 22, 2018Updated 8 years ago
- Pages defining the website of the Scikit-HEP project.☆12Jun 8, 2026Updated last week
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- 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.☆174Updated this week
- 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 6 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
- light NN client☆110Apr 29, 2026Updated last month
- 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.
- 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
- Aghast: aggregated, histogram-like statistics, sharable as Flatbuffers.☆17Oct 25, 2022Updated 3 years ago
- 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 2 months ago
- 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)☆360May 5, 2021Updated 5 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- MLHEP 2017 slides & seminars☆26Jan 16, 2018Updated 8 years ago
- Units and constants in the HEP system of units☆31Jun 8, 2026Updated last week
- ☆30Feb 19, 2026Updated 3 months ago
- Library for getting your data into HEPData☆17Jun 8, 2026Updated last week
- ☆34Nov 25, 2025Updated 6 months ago
- pure-Python HistFactory implementation with tensors and autodiff☆301Updated this week
- madjax☆15Nov 18, 2024Updated last year
- Machine Learning for High Energy Physics.☆198Dec 1, 2025Updated 6 months ago
- a set of Dockerfiles defining docker containers for HEP software and appliances.☆17Mar 24, 2018Updated 8 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Machine learning and statistics for physicists☆103Apr 15, 2021Updated 5 years ago
- A framework for fast simulation of a generic collider experiment☆118Jun 5, 2026Updated last week
- JETSCAPE, a modular, task-based framework for simulating all aspects of heavy-ion collisions.☆44May 18, 2026Updated last month
- 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
- A PyTorch Implementation of Deep Convolutional Generative Adversarial Networks☆12Aug 29, 2018Updated 7 years ago