graphnet-team / graphnet
A Deep learning library for neutrino telescopes
☆100Updated 3 weeks ago
Alternatives and similar repositories for graphnet:
Users that are interested in graphnet are comparing it to the libraries listed below
- A package to describe amortized (conditional) normalizing-flow PDFs defined jointly on tensor products of manifolds with coverage control…☆44Updated last month
- Official implementation of "Particle Transformer for Jet Tagging".☆99Updated 11 months ago
- Streamlined neural network training.☆47Updated 6 months ago
- ☆26Updated 2 years ago
- Implementation of the jet classification network in ParticleNet: Jet Tagging via Particle Clouds☆48Updated 5 years ago
- Symmetry Preserving Attention Networks for Event Reconstruction☆41Updated 2 months ago
- This project contains additional material for the textbook Deep Learning for Physics Research by Martin Erdmann, Jonas Glombitza, Gregor …☆64Updated 8 months ago
- Machine-learned, GPU-accelerated particle flow reconstruction☆28Updated last week
- a python package for gravitational wave analysis with the F-statistic☆49Updated last month
- Jet-finding in the Scikit-HEP ecosystem.☆24Updated this week
- Python package for the EnergyFlow suite of tools.☆42Updated 3 months ago
- A system for scientific simulation-based inference at scale.☆164Updated last year
- ☆30Updated 6 years ago
- Machine learning–based inference toolkit for particle physics☆86Updated 5 months ago
- CATHODE program from arxiv.org/abs/2109.00546☆10Updated 10 months ago
- Statistics tools and utilities.☆75Updated 2 weeks ago
- ☆19Updated 2 months ago
- ☆27Updated 4 months ago
- ☆24Updated 10 months ago
- Unleash the true power of scheduling☆29Updated last month
- ☆21Updated last year
- Notebook to go along with a lecture for the MIT course 8.16: Data Science in Physics on neural simulation-based inference.☆55Updated last year
- A curated list of awesome high energy and particle physics software.☆56Updated 3 years ago
- Tutorials for the 3rd IML Workshop 2019 at CERN.☆13Updated 4 years ago
- Probabilistic Programming and Nested sampling in JAX☆179Updated 3 weeks ago
- Living Review of Machine Learning for Particle Physics☆382Updated 3 weeks ago
- Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection☆65Updated 3 weeks ago
- Provides differentiable versions of common HEP operations and objectives.☆24Updated last year
- differentiable (binned) likelihoods with JAX☆22Updated this week
- GNN classification for reconstructed HEP events stored in ROOT☆14Updated 2 years ago