This is the official repository for the "doggo dot jl" YouTube channel (fka "julia for talented amateurs").
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Updated
Jan 2, 2024 - HTML
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.
This is the official repository for the "doggo dot jl" YouTube channel (fka "julia for talented amateurs").
Provides a platform for the Julia community to compare AI models' abilities in generating syntactically correct Julia code, featuring structured tests and automated evaluations for easy and collaborative benchmarking.
Interactive Visualization and Plotting with Julia, Published by Packt
DEPRECATED IN FAVOR OF TuringLang/Turing-Workshop
Octofitter is a Julia package for performing Bayesian inference against direct images of exoplanets, relative astrometry, and astrometric acceleration of the host star.
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
SciML-Bench Benchmarks for Scientific Machine Learning (SciML), Physics-Informed Machine Learning (PIML), and Scientific AI Performance
Introduction to large scale computing and data wrangling with hands-on tutorials
Nonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning
Chapter notes and exercise solutions for Reinforcement Learning: An Introduction by Sutton and Barto
A Jupyter Book (v0.6.4) that contains figures for the Phase-unwrapping research paper (written in Julia). First author Nan-kuei Chen and second author Pei-Hsin Wu, report a new postprocessing procedure that uses Fourier‐domain data analyses to improve the accuracy and reliability of phase unwrapping for MRI data of low SNR.
A set of code examples for the website TechyTok!
Website for QuantumOptics.jl
Julia code for an upper level undergraduate macroeconomics course.
Created by Jeff Bezanson, Stefan Karpinski, Viral B. Shah, Alan Edelman
Released February 14, 2012