Hello! Thank you for checking out my blog/website! I write about my projects, experiences, and other things I do that are related to programming! Scroll down to check out recent posts, or use the menu to sort by categories and tags.
You can take a look at my GitHub repos here.
Highlighted Cool Projects:
A cool project I’ve worked on over summer 2017 was a Bioinformatics tool for preprecessing sequenced DNA, available here (blog post).
I made my own programming language and interpreter that supports recursive functions, classes, and other good stuff, available here (blog post).
I also made my own artificial neural network library in Java that supports fully connected, convolutional, and GRU recurrent layers. I have trained it for handwritten digit recognition and text generation, and it is available here (blog post for library, blog post for handwritten digit recognition, blog post for new version).
If you want to check out my other “artistic” site that I made for fun, you can go here (blog post).
Anyways, thanks for reading this short post!
If you haven’t read the previous part 1, please do so, or else some things will not make sense in this blog post! As always, if you do not understand something, just search it up. There are many sources online that do in-depth explanations much better than me. Also, my code is available here on GitHub.
Let’s get started with some cool data structures and algorithms! Continue reading “All About Ranges/Intervals (Part 2)”
It has been a very long time since I have written any posts because I’ve been doing a ton of competitive programming and school work. However, I am going to start a series on mostly advanced algorithms for competitive programming. The first topic I am going to cover is range updates and queries! Continue reading “All About Ranges/Intervals (Part 1)”
This uses my neural network Java library that can be found here. The trained weights can also be found in the GitHub repository. Continue reading “Handwriting Recognition With MNIST Data in Java”
My Java machine learning library is now on GitHub. It contains a basic neural network that can be trained using backpropagation and gradient descent (Adam, Adagrad, or SGD). Continue reading “My Java Machine Learning Library and Other Source Codes are Now on GitHub!”
Levenshtein distance is a metric for the distance between two strings. It is defined by three different types of edits: substitution, insertion, and deletion. The Levenshtein distance between two strings is the minimum number of edits to get from one string to the other. Continue reading “Using Dynamic Programming to Calculate Levenshtein Distance in Java”