jonas-eschle
Large scale statistics, machine learning and software engineering in High Energy Physics
CERNSyracuse NY, USA/Geneva, Switzerland
Pinned Repositories
analysis-tools
Tools for HEP physics analysis.
fast_and_eff_python
Fast & Efficient Python Programming School: Lecture on accelerators, JAX and friends
minimalPythonPackage
Example of a minimal python package
raredecay
Machine Learning based Analysis Framework for physics on top of REP
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
yamlloader
Loaders and dumpers for PyYAML
formulate
Easy conversions between different styles of expressions
phasespace
Phase space generation implemented in TensorFlow
zfit
Model manipulation and fitting library based on TensorFlow and optimised for simple and direct manipulation of probability density functions. Its main focus is on scalability, parallelisation and user friendly experience.
jonas-eschle's Repositories
jonas-eschle/raredecay
Machine Learning based Analysis Framework for physics on top of REP
jonas-eschle/fast_and_eff_python
Fast & Efficient Python Programming School: Lecture on accelerators, JAX and friends
jonas-eschle/analysis-tools
Tools for HEP physics analysis.
jonas-eschle/minimalPythonPackage
Example of a minimal python package
jonas-eschle/101python
jonas-eschle/applied_stats_physics
jonas-eschle/astropy
Astronomy and astrophysics core library
jonas-eschle/christina_diss
jonas-eschle/CP_Violation_CNN
This repository is an accumulation of all of my test code and current CNN and boosted gradient tree models intended to identify and predict CP-violation
jonas-eschle/eos
A HEP Program for Flavor Observables
jonas-eschle/flavio
A Python package for flavour physics phenomenology in the Standard model and beyond
jonas-eschle/hep_ml
Machine learning algorithms for high energy physics.
jonas-eschle/matplotlib
matplotlib: plotting with Python
jonas-eschle/mplhep-feedstock
A conda-smithy repository for mplhep.
jonas-eschle/numpy
The fundamental package for scientific computing with Python.
jonas-eschle/osposyr_advance_python
jonas-eschle/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
jonas-eschle/probability
Probabilistic reasoning and statistical analysis in TensorFlow
jonas-eschle/pydata-sphinx-theme
A clean, three-column Sphinx theme with Bootstrap for the PyData community
jonas-eschle/quadpy
Numerical integration (quadrature, cubature) in Python
jonas-eschle/root
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
jonas-eschle/scipy
Scipy library main repository
jonas-eschle/scipy_proceedings
Tools used to generate the SciPy conference proceedings
jonas-eschle/snakemake
This is the development home of the workflow management system Snakemake. For general information, see
jonas-eschle/spack
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
jonas-eschle/staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
jonas-eschle/starterkit-lessons
Lessons taught at the Starterkit workshops.
jonas-eschle/tf-keras
The TensorFlow-specific implementation of the Keras API, which was the default Keras from 2019 to 2023.
jonas-eschle/tf-pwa
Partial Wave Analysis using TensorFlow.
jonas-eschle/uncertainties
Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.