Welcome to Learning Julia! Follow me in my journey in learning the Julia programming language. Read the latest posts here, or start with the very first post and read them all the way through!
Posts
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Collaborating on a Julia Project
For personal projects, I tend to skip around a lot and not focus on one thing, so today’s post is a break from the Trebekian.jl project from the previous post. Instead, I want to talk a little bit about how to collaborate on a Julia project with other people.
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A Basic RNN
In the epic adventure of audio processing and neural networks with Julia, the theme of today is RNNs! I’ll walk through how I built my first basic RNN in Julia with Flux.jl. This is all in pursuit of the Trebekian project.
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Julia v1.2
After many (many…) months of not using Julia, I’m taking the plunge again! I have a new ML project I want to tackle, and want to use it as a way to beef up my Julia skills. Since I’ve already been documenting my journey with Julia, I will continue to do it here. First up, upgrading my current environment to Julia 1.2!
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Image Stitching: Part 2
This is Part 2 of 2 in my posts about how to stitch two images together using Julia. It’s rough around the edges, since I’m learning how to do this myself. In Part 1 I talked about finding keypoints, descriptors, and matching two images together. This time, in Part 2, I’ll talk about how to estimate the image transformation and how to actually do the stitching.
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JuliaCon 2018
My boyfriend Robin and I went to JuliaCon 2018 this year in London, UK, and we had a blast! As a newcomer (and dabbler) in Julia, I felt like some of the talks would be over my head. However, I found the community very inclusive, and people were willing to answer my questions. Oh, and Robin gave a talk that a lot of people liked.
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Image Stitching: Part 1
This is Part 1 of 2 in my posts about how to stitch two images together using Julia. It’s rough around the edges, since I’m learning how to do this myself. In Part 1 I talk about finding keypoints, descriptors, and matching two images together. Next time, I’ll talk about how to estimate the image transformation and how to actually do the stitching.
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imfilter and arrays
Whereas in my last post I manually wrote a blur kernel and code to convolve an image, I didn’t want to do that every time an image convolution came up. So in this post I learned about the
imfilterfunction from the ImageFiltering.jl package. I also learned about the@timemacro and had a small aside on array creation. -
Blurring and manipulation
Now that I’ve been able to load an image and play with some colors, I wanted to implement some basic image manipulation functionality: blurring. To handle out-of-bounds errors when back-projecting to the input image, I learned about image overloading, played with the Interpolations.jl package, and generated some really trippy mirror art.
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Image tilings and arrays
In this notebook I decided to get more familiar with Julia basic functions, arrays, and operations by giving myself a small computational photography challenge! And on a suggestion, I played with the Interact.jl package too.
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Getting started with images
To get started with Julia, I wanted to learn more about the ecosystem of image support in Julia. Until now, my tools of choice for manipulating images was numpy in Python and OpenCV. Instead, Julia has the JuliaImages ecosystem of packages for image support.
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Launching Learning Julia
I am launching this blog to document and share my experience learning the Julia programming language. My learning style is to learn by doing - I’m sure the things I do at first will be wrong, against code style, and inefficient. But that is the best way to learn: you try something out, realize it doesn’t work, and end up learning something.
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