jolin-io / fall-in-love-with-julia
An introductory 101 series to get to know the power of Julialang
☆125Updated last year
Alternatives and similar repositories for fall-in-love-with-julia:
Users that are interested in fall-in-love-with-julia are comparing it to the libraries listed below
- A style guide for stylish Julia developers☆221Updated 4 months ago
- Pluto notebooks accompanying the book Statistics With Julia (https://statisticswithjulia.org).☆82Updated 2 years ago
- Tutorials on Julia topics☆197Updated 4 years ago
- Welcome to DataFrames.jl with Bogumił Kamiński☆127Updated 2 years ago
- Blog posts on best practices for Julia development☆209Updated 3 weeks ago
- Utilities and abstractions for Machine Learning tasks☆115Updated last month
- A collection of examples and explanations about Julia☆165Updated 2 months ago
- StatisticalRethinking notebook project using Turing and Pluto notebooks (derived from Max Lapan's Jupyter project)☆98Updated 10 months ago
- Repository for B0M36SPJ☆85Updated 3 months ago
- DEPRECATED IN FAVOR OF TuringLang/Turing-Workshop☆35Updated 3 years ago
- A set of tutorials to show how to use Julia for data science (DataFrames, MLJ, ...)☆119Updated 8 months ago
- A short course on Julia and open-source software development☆309Updated 2 years ago
- Julia package for kernel functions for machine learning☆270Updated 2 weeks ago
- Codes for the book "Julia for Data Analysis"☆211Updated last year
- A Julia package for interpretable machine learning with stochastic Shapley values☆91Updated 10 months ago
- Bayesian Statistics using Julia and Turing☆167Updated 4 months ago
- ☆65Updated 8 months ago
- ☆86Updated 3 years ago
- Wrapping deep learning models from the package Flux.jl for use in the MLJ.jl toolbox☆145Updated last week
- Complex neural network examples for Flux.jl☆125Updated last year
- Statistical bootstrapping library for Julia☆110Updated last year
- The Deep Learning with Julia book, using Flux.jl.☆84Updated 3 years ago
- High level functions for analyzing the output of simulations☆81Updated 2 months ago
- Boosted trees in Julia☆184Updated this week
- 3 Hour Workshop for JuliaCon 2021☆67Updated 3 years ago
- Abstract types and methods for Gaussian Processes.☆246Updated last week
- Beta Machine Learning Toolkit☆98Updated 2 months ago
- Arrays which also have a label for each element for easy scientific machine learning (SciML)☆120Updated 5 months ago
- ☆53Updated last year
- MIT_18.S097☆125Updated last year