An open-source toolkit for entropic data analysis.
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Updated
Jul 9, 2024 - TeX
Julia is a high-level dynamic programming language designed to address the needs of high-performance numerical analysis and computational science. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.
An open-source toolkit for entropic data analysis.
SMLP2024: Advanced methods in frequentist statistics with Julia
The book "Embrace Uncertainty: Fitting Mixed-Effects Models with Julia"
Thesis for the Computational Science Master's program at Central Washington University. 3D extension of an analog of cosmological particle creation in a Friedmann-Robertson-Walker universe by numerically simulating a Bose-Einstein condensate with a time-dependent scattering length.
Einsum Expressions in Julia
Geospatial Data Science with Julia
A package for Joint Energy Models and Energy-Based Models in Julia.
Plotting tools for teaching and learning complex analysis
This repo implements the Metropolis–Hastings algorithm (MCMC method) and the Swendsen–Wang cluster algorithm for the Ising model
A simple molecular dynamics demo using Julia
This package implements the Lanczos algorithm and the conjugate gradient method on an irregular grid.
This code implements the Jackknife resampling algorithm.
The Basic Model Interface is a standardized set of functions allowing coupling of models to models and models to data
Julia framework for creating brain–computer interfaces.
Belegarbeit für das Fach Einführung in das wissenschaftliche Schreiben teil des fünften Semesters Informatik.
Computational Project about Homotopy Continuation
An example package for submissions to JuliaCon
Building recommender systems in Julia
Created by Jeff Bezanson, Stefan Karpinski, Viral B. Shah, Alan Edelman
Released February 14, 2012