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https://github.com/krantirk/awesomeJulia

awesome Julia
https://github.com/krantirk/awesomeJulia

List: awesomeJulia

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awesome Julia

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README 

        
# 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](#Learn)

- [A personal compilation on Deep Learning](#Deep)

- [Amazing libraries I loved](#Libraries)

- [InterOP between other languages](#InterOP)

- [Communities I found helpful](#Communities)

- [Personal tips](#Tips)

- [Personal Folders in this repository](#Folders)

- [Contribute](#Contribute)



## Learn

### Youtube

- [Official tutorial](https://www.youtube.com/playlist?list=PLP8iPy9hna6SCcFv3FvY_qjAmtTsNYHQE)

- [A helpful tutorial](https://www.youtube.com/watch?v=sE67bP2PnOo)

- [Bunch of videos](https://www.youtube.com/playlist?list=PL6_D9USWkG1DslafZLTnltyhxkihWCXiI)

- [JuliaCon 2019](https://www.youtube.com/playlist?list=PLP8iPy9hna6StY9tIJIUN3F_co9A0zh0H)

- [JuliaCon 2018](https://www.youtube.com/playlist?list=PLP8iPy9hna6Qsq5_-zrg0NTwqDSDYtfQB)

- [JuliaCon 2017](https://www.youtube.com/playlist?list=PLP8iPy9hna6QpP6vqZs408etJVECPKIev)

- [JuliaCon 2016](https://www.youtube.com/playlist?list=PLP8iPy9hna6SQPwZUDtAM59-wPzCPyD_S)

- [JuliaCon 2015](https://www.youtube.com/playlist?list=PL279M8GbNseuhXmZk9rWMqY8BGJr_UOxK)

- [JuliaCon 2014](https://www.youtube.com/playlist?list=PLP8iPy9hna6TSRouJfvobfxkZFYiPSvPd)

- [Tedx Talk](https://www.youtube.com/watch?v=qGW0GT1rCvs)



### Tutorials

- [Installation](https://docs.julialang.org/en/v1/manual/getting-started/)

- [JuliaLang Docs - Simply amazing](https://docs.julialang.org/)

- [Deep learning basic models](https://github.com/FluxML/model-zoo/)

- [Neural differential equations](https://julialang.org/blog/2019/01/fluxdiffeq)

- [Rosetta challenges](https://github.com/quinnj/Rosetta-Julia)

- [Type greek and emojis!! (and others)](https://docs.julialang.org/en/v1/manual/unicode-input/)



# Libraries

- [Website to find popular libraries](https://juliaobserver.com/)

- [Core Library](https://github.com/JuliaLang)

- [Neural differential equations/others](https://julialang.org/blog/2019/01/fluxdiffeq/#implementing_the_neural_ode_layer_in_julia)

- [SciML](https://github.com/SciML?type=source)

- [Stats Library](https://github.com/JuliaStats)

- [Scikit learn](https://github.com/cstjean/ScikitLearn.jl)

- [Deep learning - FluxML](https://github.com/FluxML/)

- [Quantum Library](https://github.com/JuliaQuantum)

- [Sparse matrix/graphs](https://github.com/JuliaSparse)

- [Parallel programming](https://github.com/JuliaParallel)

- [Computer vision models](https://github.com/FluxML/Metalhead.jl)

- [Javascript integration](https://github.com/FluxML/FluxJS.jl)

- [Automatic differentiation Library](https://github.com/FluxML/Zygote.jl)

- [Tensorflow](https://github.com/malmaud/TensorFlow.jl)



## InterOP

-  I only tried python

- [Python](https://github.com/JuliaLang/pyjulia)

- [C](http://julia.readthedocs.org/en/latest/manual/embedding/)

- [Java](http://aviks.github.io/JavaCall.jl/)

- [R](https://cran.r-project.org/web/packages/JuliaCall/index.html)



## Communities

- [Stackoverflow](http://stackoverflow.com/questions/tagged/julia-lang)

- [Twitter](https://twitter.com/hashtag/julialang?src=hash)

- [Reddit](http://www.reddit.com/r/Julia/)



## 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](https://gist.github.com/SubhadityaMukherjee/6a70d6dc74783e2addac8bed475ac220)



## 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](https://arxiv.org/abs/1409.1556)



### 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](https://arxiv.org/abs/1806.07366)



### 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