Statistical analyses implemented in Julia language
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Updated
Apr 12, 2023 - Julia
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.
Statistical analyses implemented in Julia language
Julia Tutorials in jupyter notebooks
Learning how to program in Julia Lang. This repository provides an in-depth introduction to Julia Programming. Current and ongoing semester-long project.
Compute meteorology variables related to plants / crops
A simple spatial memory game
What would a basic fuzzing library look like in Julia?
Writing an interpreter in Julia :)
Supports de présentation pour le CargoChat du 05/04/2024
SegyIO overlay for writing to Cloud buckets
A hybrid sampler for the Pólya-Gamma distribution in Julia, implementing multiple algorithms for efficient sampling.
Never Fail Another Interview™
Examples of analyses run using Distributions.jl
Created by Jeff Bezanson, Stefan Karpinski, Viral B. Shah, Alan Edelman
Released February 14, 2012