jngadiub / ML_course_Pavia_23Links
☆8Updated 2 years ago
Alternatives and similar repositories for ML_course_Pavia_23
Users that are interested in ML_course_Pavia_23 are comparing it to the libraries listed below
Sorting:
- Lorentz group equivariant autoencoders based on Lorentz Group Network☆11Updated 2 years ago
- ☆17Updated last month
- madjax☆14Updated 7 months ago
- FNAL LPC Machine Learning HATS☆18Updated 4 months ago
- [JHEP] An Efficient Lorentz Equivariant Graph Neural Network for Jet Tagging☆24Updated 2 years ago
- Library for getting your data into HEPData☆16Updated last month
- This repository contains all the notebooks used for the US-ATLAS ML Training 2023☆11Updated this week
- ☆20Updated 3 months ago
- For developing and reproducing ML + HEP projects.☆22Updated 3 weeks ago
- Python Package of the CMS Machine Learning Group☆19Updated 7 months ago
- Tutorial Code for MLHEP pyprob☆18Updated last year
- Docker image for MadGraph5_aMC@NLO☆19Updated last year
- Python package for the EnergyFlow suite of tools.☆42Updated 4 months ago
- Jet-finding in the Scikit-HEP ecosystem.☆25Updated this week
- A package to describe amortized (conditional) normalizing-flow PDFs defined jointly on tensor products of manifolds with coverage control…☆43Updated 3 months ago
- Symmetry Preserving Attention Networks for Event Reconstruction☆41Updated 4 months ago
- Official implementation of "Particle Transformer for Jet Tagging".☆102Updated last year
- UCSD PHYS 139/239: Machine Learning in Physics (Winter 2023)☆17Updated last year
- Knowledge Base for Jet Physics at the LHC☆12Updated 4 years ago
- Fast, lightweight and parallelised simulation-based inference in JAX.☆18Updated last week
- A tool for connecting programs to scan the parameter space of physics models☆11Updated 6 months ago
- NanoAOD framework for testing jet algorithms.☆7Updated last year
- ☆14Updated last year
- Implementation of the CWoLa Hunting strategy for dijet resonances☆18Updated 4 years ago
- Jet tagging in the Lund plane with graph networks☆9Updated 3 years ago
- Material for statistics lectures for physicist☆12Updated 9 months ago
- Tutorials for the Deep Learning in Particle Physics course, spring semester 2022, at the University of Heidelberg.☆12Updated 2 years ago
- Hands-on boosted decision tree tutorial (using XGBoost) for September 2017 Fermilab Machine Learning Group Meeting.☆16Updated 7 years ago
- Tutorials for CMS analysis in scientific Python☆13Updated 5 years ago
- Tutorials on Deep Learning applications to particle physics☆14Updated 6 months ago