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update of deploy script and minor fixes, see also #969 (#970)
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.github/workflows/deploy.yml

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- name: Install Julia
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uses: julia-actions/setup-julia@v1
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with:
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version: 1.3.0
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version: 1.5.0
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# This ensures that NodeJS and Franklin are loaded then it installs
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# highlight.js which is needed for the prerendering step.
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# Then the environment is activated and instantiated to install all
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run: julia -e '
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using Pkg;
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Pkg.add("NodeJS");
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Pkg.add(PackageSpec(name="Franklin",version="0.8"));
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Pkg.add(PackageSpec(name="Franklin",version="0.9"));
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using NodeJS; run(`$(npm_cmd()) install highlight.js`);
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using Franklin; optimize();
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cp(joinpath("__site", "feed.xml"), joinpath("__site", "index.xml"))'

.gitignore

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Manifest.toml
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Project.toml
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package-lock.json
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.__py_*

blog/2020/05/jsoc-gsoc2020.md

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@def rss = """GSoC and JSoC 2020 Project List"""
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This summer, the Julia Language will be hosting students through GSoC and JSoC. You can read more about this by checking out [our Discourse post](https://discourse.julialang.org/t/julia-seasons-of-contributions-to-supplement-gsoc-2020/38754). We are very excited to have 25 students working with us. Here are the projects they will be working on:
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This summer, the Julia Language will be hosting students through GSoC and JSoC. You can read more about this by checking out [our Discourse post](https://discourse.julialang.org/t/julia-seasons-of-contributions-to-supplement-gsoc-2020/38754). We are very excited to have 25 students working with us. Here are the projects they will be working on:
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| Display Name | Project |
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| ------------- |:-------------:|
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| Sharan Yalburgi | Adding GPML capabilities to JuliaGaussianProcesses |
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| Display Name | Project |
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| :------------- | :---------|
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| Sharan Yalburgi | Adding GPML capabilities to JuliaGaussianProcesses |
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| Arthur Lui | BNP Benchmarks and Feature Comparisons for Turing and Other PPLs |
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| Nirmal Praveen Suthar | Deep Learning for 3D Computer Vision |
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| Alexander Seiler | General Improvements for LinearMaps.jl |
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| Kirill Zubov | General partial differential equation solver using neural networks with ModelingToolkit interface |
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| Nirmal Praveen Suthar | Deep Learning for 3D Computer Vision |
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| Alexander Seiler | General Improvements for LinearMaps.jl |
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| Kirill Zubov | General partial differential equation solver using neural networks with ModelingToolkit interface |
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| frankschae | High weak order stochastic differential equation solvers and their utility in neural stochastic differential equations |
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| Koustav Chowdhury | Implementation of a hash table based on SwissTable and adding Trees.jl to JuliaCollections |
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| MartinuzziFrancesco | Implementation of a Reservoir Computing library for timeseries prediction |
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| Tejas Vaidhya | Implementing ALBERT in julia |
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| Ludovico Bessi | Improving Surrogates.jl |
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| Peter Cheng | Leveraging Hugging Face Transformers package in Julia |
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| Aadesh Deshmukh | MLJTime - Adding Time Series Support For MLJ |
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| Utkarsh530 | Performance Enhancements and Optimizations for Differential Equation solvers |
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| Saranjeet Kaur Bhogal | Polychord Nested Sampling Algorithm Building and Integration with Turing in Julia |
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| Uziel Linares | Taylor models and a guaranteed ODE solver |
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| Chen Zhao | ZX.jl: ZX-calculus for Julia |
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| Arsh Sharma | A Geospatial Data handling package for Julia |
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| Krish Agarwal | A Standards compliant Interval Arithmetic Library |
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| SebastianGuadalupe | Computational Methods using Zonotopes |
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| Nabanita Dash | Fast communication library in Julia by wrapping the UCX networking library |
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| Ashrya Agrawal-1 | MLJ - FairML |
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| SebastianM-C | N-body problem tooling for large scale electrodynamics simulations |
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| Ashutosh Bharambe | Neural Networks for solving differential equations |
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| Abhinav Mehndiratta | Parallel Graph Algorithms |
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| abhinav_gupta | Parameter estimation for nonlinear dynamical models. |
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| Koustav Chowdhury | Implementation of a hash table based on SwissTable and adding Trees.jl to JuliaCollections |
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| MartinuzziFrancesco | Implementation of a Reservoir Computing library for timeseries prediction |
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| Tejas Vaidhya | Implementing ALBERT in julia |
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| Ludovico Bessi | Improving Surrogates.jl |
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| Peter Cheng | Leveraging Hugging Face Transformers package in Julia |
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| Aadesh Deshmukh | MLJTime - Adding Time Series Support For MLJ |
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| Utkarsh530 | Performance Enhancements and Optimizations for Differential Equation solvers |
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| Saranjeet Kaur Bhogal | Polychord Nested Sampling Algorithm Building and Integration with Turing in Julia |
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| Uziel Linares | Taylor models and a guaranteed ODE solver |
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| Chen Zhao | ZX.jl: ZX-calculus for Julia |
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| Arsh Sharma | A Geospatial Data handling package for Julia |
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| Krish Agarwal | A Standards compliant Interval Arithmetic Library |
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| SebastianGuadalupe | Computational Methods using Zonotopes |
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| Nabanita Dash | Fast communication library in Julia by wrapping the UCX networking library |
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| Ashrya Agrawal-1 | MLJ - FairML |
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| SebastianM-C | N-body problem tooling for large scale electrodynamics simulations |
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| Ashutosh Bharambe | Neural Networks for solving differential equations |
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| Abhinav Mehndiratta | Parallel Graph Algorithms |
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| abhinav_gupta | Parameter estimation for nonlinear dynamical models. |

learning/index.md

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@def title="Get started with Julia"
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~~~
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<!--

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