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
My exploration of Quantitative Economics using Julia based on tutorials by QuanEcon
Nextjournal notebooks for a lecture on machine learning written in Julia
Simple neural network with examples and tests.
Hier versuche ich, verschiedene Programmiersprachen gegenüberzustellen und dabei mehr über sie zu lernen
Never Fail Another Interview™
Programming in Julia at AGH-UST (2017/2018)
Selected topics in Computational Physics.
Multitask Learning for Transcriptional Regulatory Network Inference in Julia
Archived in favor of https://github.com/gstavrinos/ROS.jl
Manage in-source TODOs in a Glo-board
Global illumination in few lines of Julia
Check whether a plot respects common plotting conventions (that it has a title, labeled axes, consistent colors). Also compare submitted plots to reference plots.
Blowfish.jl is an implementation of Bruce Schneier's Blowfish encryption algorithm.
A Julia Package for the ACT-R Cognitive Architecture
Julia package for Bayesian joint latent class models of longitudinal and time-to-event models
My solutions for Advent of Code 2020
Additional layers and functions for Flux.jl.
Created by Jeff Bezanson, Stefan Karpinski, Viral B. Shah, Alan Edelman
Released February 14, 2012