The Julia Language
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.
Here are 53 public repositories matching this topic...
An example package for submissions to JuliaCon
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Nov 16, 2023 - TeX
An open-source toolkit for entropic data analysis.
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Aug 6, 2024 - TeX
The Basic Model Interface is a standardized set of functions allowing coupling of models to models and models to data
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Apr 29, 2024 - TeX
Geospatial Data Science with Julia
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Jun 19, 2024 - TeX
Repo that hosts the companion book of Julia for Deep Learning
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Aug 23, 2023 - TeX
Building recommender systems in Julia
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Sep 12, 2023 - TeX
Graduate Econometrics course notes with code in Julia
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Jan 18, 2022 - TeX
Einsum Expressions in Julia
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Jul 25, 2024 - TeX
Increases unit test coverage with fewer test cases using all-pairs and other covering arrays.
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Jul 30, 2023 - TeX
Experimental library on discrete logarithm in finite fields.
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Oct 4, 2017 - TeX
Julia framework for creating brain–computer interfaces.
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Mar 19, 2024 - TeX
The book "Embrace Uncertainty: Fitting Mixed-Effects Models with Julia"
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Jul 17, 2024 - TeX
Contains all of the files for the ME 312 Brayton Cycle Project
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Mar 27, 2023 - TeX
Introdução a regressão e modelos lineares
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Mar 8, 2023 - TeX
Team project for the 2019 COMAP Mathematical Contest in Modeling (MCM).
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Jan 31, 2020 - TeX
Created by Jeff Bezanson, Stefan Karpinski, Viral B. Shah, Alan Edelman
Released February 14, 2012
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