Jonas Eschle (jonas-eschle)

jonas-eschle

Geek Repo

Company:CERN

Location:Syracuse NY, USA/Geneva, Switzerland

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Organizations
hep-statistics-serialization-standard

Jonas Eschle's repositories

raredecay

Machine Learning based Analysis Framework for physics on top of REP

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analysis-tools

Tools for HEP physics analysis.

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minimalPythonPackage

Example of a minimal python package

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astropy

Astronomy and astrophysics core library

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compwa-org-redeboer

Source code for the ComPWA Organization pages

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conda-forge-repodata-patches-feedstock

A conda-smithy repository for conda-forge-repodata-patches.

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eos

A HEP Program for Flavor Observables

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graphics

TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow

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hep_ml

Machine learning algorithms for high energy physics.

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marshmallow

A lightweight library for converting complex objects to and from simple Python datatypes.

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matplotlib

matplotlib: plotting with Python

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numdifftools

Solve automatic numerical differentiation problems in one or more variables.

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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

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probability

Probabilistic reasoning and statistical analysis in TensorFlow

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pydata-sphinx-theme

A clean, three-column Sphinx theme with Bootstrap for the PyData community

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quadpy

Numerical integration (quadrature, cubature) in Python

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scipy

Scipy library main repository

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sepal-doc

Documentation of the SEPAL platform (https://sepal.io)

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spack

A flexible package manager that supports multiple versions, configurations, platforms, and compilers.

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sphinx-book-theme

A lightweight book theme built off of the pydata sphinx theme

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staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

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starterkit-lessons

Lessons taught at the Starterkit workshops.

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tensorflow

An Open Source Machine Learning Framework for Everyone

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tensorflow-probability-feedstock

A conda-smithy repository for tensorflow-probability.

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tf-keras

The TensorFlow-specific implementation of the Keras API, which was the default Keras from 2019 to 2023.

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uncertainties

Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.

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