A package that makes it trivial to create and evaluate machine learning pipeline architectures.
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Updated
Jul 16, 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.
A package that makes it trivial to create and evaluate machine learning pipeline architectures.
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.
Introduction to large scale computing and data wrangling with hands-on tutorials
SciML-Bench Benchmarks for Scientific Machine Learning (SciML), Physics-Informed Machine Learning (PIML), and Scientific AI Performance
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 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