{"id":31221,"url":"https://github.com/krantirk/awesomeJulia","name":"awesomeJulia","description":"awesome Julia","projects_count":40,"last_synced_at":"2026-08-17T16:00:29.335Z","repository":{"id":104670437,"uuid":"267869679","full_name":"krantirk/awesomeJulia","owner":"krantirk","description":"awesome Julia","archived":false,"fork":false,"pushed_at":"2020-05-29T13:51:36.000Z","size":1421,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2026-07-29T05:05:27.475Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/krantirk.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2020-05-29T13:51:08.000Z","updated_at":"2020-05-29T13:51:40.000Z","dependencies_parsed_at":null,"dependency_job_id":"b1099720-55da-4dff-b240-1807490612d0","html_url":"https://github.com/krantirk/awesomeJulia","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/krantirk/awesomeJulia","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/krantirk%2FawesomeJulia","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/krantirk%2FawesomeJulia/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/krantirk%2FawesomeJulia/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/krantirk%2FawesomeJulia/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/krantirk","download_url":"https://codeload.github.com/krantirk/awesomeJulia/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/krantirk%2FawesomeJulia/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":36743812,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-08-06T04:43:03.162Z","status":"online","status_checked_at":"2026-08-17T02:00:06.698Z","response_time":86,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"created_at":"2024-01-13T12:58:21.857Z","updated_at":"2026-08-17T16:00:29.336Z","primary_language":null,"list_of_lists":false,"displayable":true,"categories":["Folders","Learn","InterOP","Communities","Deep"],"sub_categories":["Classification","Tutorials","Neural Ode","Youtube"],"readme":"# Julia Resources\n\n- 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)\n- I am absolutely in love with the syntax\n- Love the way you can write \\gamma+\\delta-y\\hat to get γ+δ+ŷ\n\n# Index\n- [Learning Julia](#Learn)\n- [A personal compilation on Deep Learning](#Deep)\n- [Amazing libraries I loved](#Libraries)\n- [InterOP between other languages](#InterOP)\n- [Communities I found helpful](#Communities)\n- [Personal tips](#Tips)\n- [Personal Folders in this repository](#Folders)\n- [Contribute](#Contribute)\n\n## Learn\n### Youtube\n- [Official tutorial](https://www.youtube.com/playlist?list=PLP8iPy9hna6SCcFv3FvY_qjAmtTsNYHQE)\n- [A helpful tutorial](https://www.youtube.com/watch?v=sE67bP2PnOo)\n- [Bunch of videos](https://www.youtube.com/playlist?list=PL6_D9USWkG1DslafZLTnltyhxkihWCXiI)\n- [JuliaCon 2019](https://www.youtube.com/playlist?list=PLP8iPy9hna6StY9tIJIUN3F_co9A0zh0H)\n- [JuliaCon 2018](https://www.youtube.com/playlist?list=PLP8iPy9hna6Qsq5_-zrg0NTwqDSDYtfQB)\n- [JuliaCon 2017](https://www.youtube.com/playlist?list=PLP8iPy9hna6QpP6vqZs408etJVECPKIev)\n- [JuliaCon 2016](https://www.youtube.com/playlist?list=PLP8iPy9hna6SQPwZUDtAM59-wPzCPyD_S)\n- [JuliaCon 2015](https://www.youtube.com/playlist?list=PL279M8GbNseuhXmZk9rWMqY8BGJr_UOxK)\n- [JuliaCon 2014](https://www.youtube.com/playlist?list=PLP8iPy9hna6TSRouJfvobfxkZFYiPSvPd)\n- [Tedx Talk](https://www.youtube.com/watch?v=qGW0GT1rCvs)\n\n### Tutorials\n- [Installation](https://docs.julialang.org/en/v1/manual/getting-started/)\n- [JuliaLang Docs - Simply amazing](https://docs.julialang.org/)\n- [Deep learning basic models](https://github.com/FluxML/model-zoo/)\n- [Neural differential equations](https://julialang.org/blog/2019/01/fluxdiffeq)\n- [Rosetta challenges](https://github.com/quinnj/Rosetta-Julia)\n- [Type greek and emojis!! (and others)](https://docs.julialang.org/en/v1/manual/unicode-input/)\n\n# Libraries\n- [Website to find popular libraries](https://juliaobserver.com/)\n- [Core Library](https://github.com/JuliaLang)\n- [Neural differential equations/others](https://julialang.org/blog/2019/01/fluxdiffeq/#implementing_the_neural_ode_layer_in_julia)\n- [SciML](https://github.com/SciML?type=source)\n- [Stats Library](https://github.com/JuliaStats)\n- [Scikit learn](https://github.com/cstjean/ScikitLearn.jl)\n- [Deep learning - FluxML](https://github.com/FluxML/)\n- [Quantum Library](https://github.com/JuliaQuantum)\n- [Sparse matrix/graphs](https://github.com/JuliaSparse)\n- [Parallel programming](https://github.com/JuliaParallel)\n- [Computer vision models](https://github.com/FluxML/Metalhead.jl)\n- [Javascript integration](https://github.com/FluxML/FluxJS.jl)\n- [Automatic differentiation Library](https://github.com/FluxML/Zygote.jl)\n- [Tensorflow](https://github.com/malmaud/TensorFlow.jl)\n\n## InterOP\n-  I only tried python\n- [Python](https://github.com/JuliaLang/pyjulia)\n- [C](http://julia.readthedocs.org/en/latest/manual/embedding/)\n- [Java](http://aviks.github.io/JavaCall.jl/)\n- [R](https://cran.r-project.org/web/packages/JuliaCall/index.html)\n\n## Communities\n- [Stackoverflow](http://stackoverflow.com/questions/tagged/julia-lang)\n- [Twitter](https://twitter.com/hashtag/julialang?src=hash)\n- [Reddit](http://www.reddit.com/r/Julia/)\n\n## Deep\n- Want to learn DL??\n- Have no idea where to start?\n- Here is a personal compilation of links that have helped me get where I am today :)\n- [Important links](https://gist.github.com/SubhadityaMukherjee/6a70d6dc74783e2addac8bed475ac220)\n\n## Folders\n### Classification\n- Lenet5 : Flux ML implementation of Lenet5\n  - LeCun, Y. (2015). LeNet-5, convolutional neural networks. URL: http://yann. lecun. com/exdb/lenet, 20, 5.\n- trying : Just my tests\n- vgg : Flux ML implementation of vgg16\n  - [paper](https://arxiv.org/abs/1409.1556)\n\n### Gans\n- This has implementations of DCGANs, A test of neural ODEs in VAEs (WIP)\n\n### Neural Ode\n- Something special and a work in progress. Using Ordinary differential equations to streamline networks\n- [paper](https://arxiv.org/abs/1806.07366)\n\n### StreamlineAPI (Contribute if you can :))\n- Something fun I am working on. I do like the FluxML API but I wanted to make it better and more generalized\n\n## Tips\n- Yes it is a very new language so it will be hard to find Tutorials\n- Use it if you want to do scientific computing and other languages are too slow\n- I love the syntax even more than I did python's\n- Do not shift to this as your primary language yet (Maybe in a few years)\n- 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\n- Some things dont exist yet so feel free to use python/R wrappers to get them done\n- You can get stuff directly from cran/pypi\n- Use R/python libraries to get datasets\n- Contribute heavily!!!!\n\n\n## Contribute\n- Can I add to this list?? YES\n- Please feel free to contribute to this repo by sending a PR.\n- Anything that you wish to add which personally helped you is welcome :)\n- If its your own package, please do add a note on usabilty if you are dropping a PR\n","projects_url":"https://awesome.ecosyste.ms/api/v1/lists/krantirk%2Fawesomejulia/projects"}