jackhcollins / CWoLa-Hunting
Implementation of the CWoLa Hunting strategy for dijet resonances
☆18Updated 3 years ago
Alternatives and similar repositories for CWoLa-Hunting:
Users that are interested in CWoLa-Hunting are comparing it to the libraries listed below
- Tutorial Code for MLHEP pyprob☆18Updated last year
- Using neural networks to extract sufficient statistics from data by maximising the Fisher information☆31Updated last year
- 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 4 years ago
- Knowledge Base for Jet Physics at the LHC☆11Updated 4 years ago
- Machine learning–based inference toolkit for particle physics☆86Updated 3 months ago
- ☆25Updated 2 years ago
- Upstream optimisation for downstream inference☆69Updated last week
- differentiable (binned) likelihoods with JAX☆19Updated last week
- A webpage for the scattering transform. To calculate, you just need the folder called "scattering".☆49Updated 4 months ago
- Meeting repo for likelihood free inference meeting☆15Updated 2 years ago
- Inference of substructure properties in strong lensing systems with machine learning. Code repository associated with https://arxiv.org/a…☆32Updated 5 years ago
- ☆31Updated 4 years ago
- Paper introducing jax-cosmo☆14Updated last year
- Things that make me feel productive☆15Updated 2 years ago
- ☆27Updated last month
- madjax☆14Updated 2 months ago
- A JAX package for weak gravitational lensing☆30Updated 9 months ago
- Jet tagging in the Lund plane with graph networks☆8Updated 3 years ago
- Bind any function written in another language to JAX with support for JVP/VJP/batching/jit compilation☆65Updated 7 months ago
- Normalizing flow models allowing for a conditioning context, implemented using Jax, Flax, and Distrax.☆15Updated 11 months ago
- Using Graph Neural Networks to regress baryonic properties directly from full dark matter merger trees.☆24Updated last year
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆108Updated last year
- Python package for the EnergyFlow suite of tools.☆41Updated 2 weeks ago
- Simulation-based inference in JAX☆29Updated last week
- Statistics tools and utilities.☆73Updated 2 weeks ago
- Torch utilities for doing machine learning in gravitational wave physics☆21Updated this week
- Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection☆59Updated last week
- Hierarchical neural implicit inference over event ensembles. Code repository associated with https://arxiv.org/abs/2306.12584.☆13Updated last year