Ellen M. Price (emprice)

emprice

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Company:University of Chicago

Home Page:https://emprice.org

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Ellen M. Price's repositories

nordplotlib

Nord meets Matplotlib

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furiosa

A Nord twist on the Furo theme

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benzaiten

Automatic differentiation of abstract functions in C++20

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benzaiten-old

C++17 template library for computing arbitrary derivatives

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pygments-nord

A simple implementation of the Nord theme to be used with Pygments

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sandman

Procedurally generate perceptually uniform colormaps

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athena

Athena++ radiation GRMHD code and adaptive mesh refinement (AMR) framework

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autoray

Write numeric code that automatically works with any numpy-ish libraries.

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code

Code accompanying The Lattice Boltzmann Method: Principles and Practice

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cotengra

Hyper optimized contraction trees for large tensor networks - compatible with opt_einsum and quimb

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cyvtk

A simple Cython-based interface to VTK

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elucidate

Collection of tools for academics transitioning from LaTeX to HTML

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fargo3d

A versatile multifluid HD/MHD code that runs on clusters of CPUs or GPUs, with special emphasis on protoplanetary disks.

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pocky

A Python bridge to OpenCL

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dynesty

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

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echidna

Simple MPI-based mutex and job delegation

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emcee

The Python ensemble sampling toolkit for affine-invariant MCMC

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empposter

Yet another simple and clean academic poster template for LaTeX

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harvard-gsas-dissertation-template

A very unofficial LaTeX template for Harvard GSAS dissertations

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isochrones

Pythonic stellar model grid access; easy MCMC fitting of stellar properties

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jade

A simple set of styles and templates for a green variant of the default Sphinx theme

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jupyrefs

A JupyterLab reference manager

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limbdark2012

Claret et al. (2012) limb darkening tables merged into HDF5

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scipio

Simple spherical harmonic decomposition

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sundials

SUNDIALS is a SUite of Nonlinear and DIfferential/ALgebraic equation Solvers. This is a mirror of current releases, and development will move here eventually. Pull requests are not currently accepted, but bug reports and questions are welcome at sundials-users@llnl.gov. For more info visit https://computation.llnl.gov/projects/sundials

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taucmdr

Performance engineering for the rest of us.

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