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Julia Resources

• It took me 4 days to learn Julia to a working level. (Yes I have been coding for a while so it was way easier than I thought it would be)
• I am absolutely in love with the syntax
• Love the way you can write \gamma+\delta-y\hat to get γ+δ+ŷ

Index

• Learning Julia
• A personal compilation on Deep Learning
• Amazing libraries I loved
• InterOP between other languages
• Communities I found helpful
• Personal tips
• Personal Folders in this repository
• Contribute

Learn

Youtube

• Several courses in JuliaAcademy
• Official tutorial
• A helpful tutorial
• Bunch of videos
• Computational Thinking MIT 18.S191 Fall 2020
• Julia Krish Naik
• JuliaCon 2020
• JuliaCon 2019
• JuliaCon 2018
• JuliaCon 2017
• JuliaCon 2016
• JuliaCon 2015
• JuliaCon 2014
• Tedx Talk

Tutorials

• Installation
• JuliaLang Docs - Simply amazing
• Deep learning basic models
• Neural differential equations
• Rosetta challenges
• Type greek and emojis!! (and others)

Libraries

• Website to find popular libraries
• Core Library
• Neural differential equations/others
• SciML
• Stats Library
• Scikit learn
• Deep learning - FluxML
• Quantum Library
• Sparse matrix/graphs
• Parallel programming
• Computer vision models
• Javascript integration
• Automatic differentiation Library
• Tensorflow

InterOP

• I only tried python
• Python
• C
• Java
• R

Communities

• Stackoverflow
• Twitter
• Reddit

Deep

• Want to learn DL??
• Have no idea where to start?
• Here is a personal compilation of links that have helped me get where I am today :)
• Important links

Folders

Classification

• Lenet5 : Flux ML implementation of Lenet5
  • LeCun, Y. (2015). LeNet-5, convolutional neural networks. URL: http://yann. lecun. com/exdb/lenet, 20, 5.
• trying : Just my tests
• vgg : Flux ML implementation of vgg16
  • paper

Gans

• This has implementations of DCGANs, A test of neural ODEs in VAEs (WIP)

Neural Ode

• Something special and a work in progress. Using Ordinary differential equations to streamline networks
• paper

StreamlineAPI (Contribute if you can :))

• Something fun I am working on. I do like the FluxML API but I wanted to make it better and more generalized

Tips

• Yes it is a very new language so it will be hard to find Tutorials
• Use it if you want to do scientific computing and other languages are too slow
• I love the syntax even more than I did python's
• Do not shift to this as your primary language yet (Maybe in a few years)
• Do look at the repositories of the packages you are using. Julia is extremely easy to understand and you will be better off looking at existing codebases
• Some things dont exist yet so feel free to use python/R wrappers to get them done
• You can get stuff directly from cran/pypi
• Use R/python libraries to get datasets
• Contribute heavily!!!!

Contribute

• Can I add to this list?? YES
• Please feel free to contribute to this repo by sending a PR.
• Anything that you wish to add which personally helped you is welcome :)
• If its your own package, please do add a note on usabilty if you are dropping a PR