Jonas Eschle's repositories
fast_and_eff_python
Fast & Efficient Python Programming School: Lecture on accelerators, JAX and friends
analysis-tools
Tools for HEP physics analysis.
minimalPythonPackage
Example of a minimal python package
astropy
Astronomy and astrophysics core library
conda-forge-repodata-patches-feedstock
A conda-smithy repository for conda-forge-repodata-patches.
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
eos
A HEP Program for Flavor Observables
matplotlib
matplotlib: plotting with Python
numdifftools
Solve automatic numerical differentiation problems in one or more variables.
numpy
The fundamental package for scientific computing with Python.
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
probability
Probabilistic reasoning and statistical analysis in TensorFlow
pydata-sphinx-theme
A clean, three-column Sphinx theme with Bootstrap for the PyData community
quadpy
Numerical integration (quadrature, cubature) in Python
scipy
Scipy library main repository
scipy_proceedings
Tools used to generate the SciPy conference proceedings
snakemake
This is the development home of the workflow management system Snakemake. For general information, see
spack
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
starterkit-lessons
Lessons taught at the Starterkit workshops.
tensorflow
An Open Source Machine Learning Framework for Everyone
tensorflow-probability-feedstock
A conda-smithy repository for tensorflow-probability.
tf-keras
The TensorFlow-specific implementation of the Keras API, which was the default Keras from 2019 to 2023.
uncertainties
Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.