cranmer / fast-asimov-utils
Fast approximate statistical tools for discovery and limits.
☆13Updated 9 years ago
Related projects ⓘ
Alternatives and complementary repositories for fast-asimov-utils
- Main repository for image generation and CNN training https://arxiv.org/abs/1609.00607☆22Updated 4 years ago
- design and steer profile likelihood fits☆28Updated this week
- Excursion Set Estimation☆22Updated 3 years ago
- LUMIN - a deep learning and data science ecosystem for high-energy physics.☆46Updated last week
- Easy-to-use Python bindings for HepMC3☆21Updated this week
- ☆9Updated 6 years ago
- Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"☆45Updated 5 years ago
- Backend for columnar, fully orchestrated HEP analyses with pure Python, law and order.☆25Updated this week
- Upstream optimisation for downstream inference☆69Updated last week
- Scientific numbers with multiple uncertainties, correlation-aware gaussian error propagation and numpy support.☆28Updated 3 weeks ago
- MLHEP 2017 slides & seminars☆26Updated 6 years ago
- Plugin for MadGraph5_aMC allowing for output Matrix Elements in a TensorFlow-friendly format☆10Updated 5 years ago
- Lessons taught at the Starterkit workshops.☆35Updated this week
- Statistics tools and utilities.☆71Updated this week
- Pure python statistic tools for high energy physics.☆17Updated 4 years ago
- Bayesian analysis toolkit http://mpp.mpg.de/bat☆68Updated 3 years ago
- Matt LeBlanc Trains a Neural Network☆15Updated 5 years ago
- Personal notes on statistics with a focus on applications to experimental high energy physics☆27Updated last year
- Easy conversions between different styles of expressions☆12Updated this week
- Tutorial Code for MLHEP pyprob☆18Updated last year
- 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.☆163Updated this week
- Repository for the paper "Learning to Pivot with Adversarial Networks"☆34Updated 5 years ago
- Machine learning–based inference toolkit for particle physics☆86Updated this week
- Aghast: aggregated, histogram-like statistics, sharable as Flatbuffers.☆17Updated 2 years ago
- Computing essentials for HEP analysts☆11Updated 5 years ago
- Python implementation of the BumpHunter algorithm used by HEP community.☆17Updated 2 months ago
- Iterative unfolding for Python☆26Updated 4 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.☆29Updated 5 years ago
- A Python module for conveniently loading/saving ROOT files as pandas DataFrames☆109Updated 3 years ago