jonas-eschle

High Energy Physics

CERNSyracuse NY, USA/Geneva, Switzerland

Pinned Repositories

analysis-tools
Tools for HEP physics analysis.
Language:Python1 0 00
minimalPythonPackage
Example of a minimal python package
Language:Python1 1 00
raredecay
Machine Learning based Analysis Framework for physics on top of REP
Language:Jupyter Notebook7 1 153
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
Language:Jupyter Notebook1 1 00
yamlloader
Loaders and dumpers for PyYAML
Language:Python9 3 113
formulate
Easy conversions between different styles of expressions
Language:Python12 4 244
phasespace
Phase space generation implemented in TensorFlow
Language:Python22 5 249
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.
Language:Python169 10 14150

jonas-eschle's Repositories

jonas-eschle/raredecay
Machine Learning based Analysis Framework for physics on top of REP
Language:Jupyter Notebook7 1 153
jonas-eschle/analysis-tools
Tools for HEP physics analysis.
Language:Python1 0 00
jonas-eschle/minimalPythonPackage
Example of a minimal python package
Language:Python1 1 00
jonas-eschle/applied_stats_physics
Language:Jupyter Notebook
jonas-eschle/astropy
Astronomy and astrophysics core library
jonas-eschle/christina_diss
Language:Python
jonas-eschle/compwa-org-redeboer
Source code for the ComPWA Organization pages
jonas-eschle/conda-forge-repodata-patches-feedstock
A conda-smithy repository for conda-forge-repodata-patches.
Language:Python0 0
jonas-eschle/eos
A HEP Program for Flavor Observables
jonas-eschle/graphics
TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow
Language:Python0 0
jonas-eschle/hep_ml
Machine learning algorithms for high energy physics.
Language:Jupyter Notebook1 0
jonas-eschle/IRIS-HEP-dfei_andrii
Language:Jupyter Notebook0 0
jonas-eschle/marshmallow
A lightweight library for converting complex objects to and from simple Python datatypes.
jonas-eschle/matplotlib
matplotlib: plotting with Python
Language:Python
jonas-eschle/numdifftools
Solve automatic numerical differentiation problems in one or more variables.
Language:Python0 0
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
Language:Python0 0
jonas-eschle/probability
Probabilistic reasoning and statistical analysis in TensorFlow
Language:Jupyter Notebook0 0
jonas-eschle/pydata-sphinx-theme
A clean, three-column Sphinx theme with Bootstrap for the PyData community
jonas-eschle/PyHEP2022phasespace
Language:Jupyter Notebook
jonas-eschle/quadpy
Numerical integration (quadrature, cubature) in Python
jonas-eschle/scipy
Scipy library main repository
Language:Python0 0
jonas-eschle/sepal-doc
Documentation of the SEPAL platform (https://sepal.io)
jonas-eschle/spack
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
Language:Python
jonas-eschle/sphinx-book-theme
A lightweight book theme built off of the pydata sphinx theme
jonas-eschle/staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
Language:Python0 0
jonas-eschle/starterkit-lessons
Lessons taught at the Starterkit workshops.
jonas-eschle/tensorflow
An Open Source Machine Learning Framework for Everyone
Language:C++
jonas-eschle/tensorflow-probability-feedstock
A conda-smithy repository for tensorflow-probability.
0 0
jonas-eschle/tf-keras
The TensorFlow-specific implementation of the Keras API, which was the default Keras from 2019 to 2023.
jonas-eschle/uncertainties
Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.