A Donald Trump text to speech web app written in Rust:

http://jungle.horse

It needs a lot of work, but the basics are there. It uses unit selection on a large sample database as well as CMU's arpabet and a few other algorithms.

I'm looking to start work on a deep learning approach to improving the quality in January.

I'm going to spend the next month working on an interactive New Years laser display to project on a skyscraper in downtown Atlanta. I have a bunch of videos of some of the older work I did with lasers in undergrad:

http://lasers.io

I'm rewriting my engine in Rust now and plan to use four projectors to increase the drawing complexity / capability. It'll be interactive / online, so even those that aren't in Atlanta should be able to interact with it.

I've written an introductory book on Go http://github.com/thewhitetulip/web-dev-golang-anti-textbook, it taught hoe to write a webapp in Go without using a framework.

Earlier, it taught basic html, now I am rewriting the Tasks app, http://github.com/thewhitetulip/Tasks/, to use the front end framework http://vuejs.org, using the learning of my experiment, I'm putting together anther series of tutorials, http://github.com/thewhitetulip/intro-to-vuejs.

Thid is because I wanted an easy to understand tutorial which doesn't expect the user to have anything more than basic html/css/js knowledge.

edit: links

I have several courses on Udemy.com. They sometimes go slightly out of date as frameworks release breaking changes. Right now, I'm just about to upload some updates to my most popular course on React/Redux: https://www.udemy.com/react-redux/?couponCode=HAOW8983

I'm working on a Chrome Extension for YouTube that allows you to seek at any point in a video by a phrase search that matches against the dialogue. It will also allow you to search through the video by image captions. The image captions will be computed for discerning frames of the video using a CNN-RNN model called neuraltalk2. The front end will be very minimal and so this will allow me to get my hands dirty with React + Redux.

I'm working on Cachet, the open source status page.

It's very much something that I wish I had more time to spend on, so progress is slow at times, but we'll get there :)

https://cachethq.io

http://www.sensorama.org -- Open Source sensor platform for data science on iOS. I wrote code and did all the design. You get the JSON file of sensor data sampled at 100ms interval (configurable). I get a copy too!. I'm slowly improving it and adding new stuff.

Install: https://itunes.apple.com/us/app/sensorama/id1159788831?mt=8

Read code: https://github.com/wkoszek/sensorama-ios (main repo)

Going to give a talk on it: https://github.com/wkoszek/talks/tree/master/svmobiledev2016

Opinions would be welcome.

I've been writing this app that lets teachers group kid together based on their performance on an assessment. The idea is that you'd try putting things together in groups that answered questions differently so that they could talk about it and either reinforce their mental models (or test just how robust they are) by teaching a peer or ridding themselves of misconceptions by having a peer help them out. I wrote a GA in Python a few months ago that would take vectors of answers and would group them together and it worked surprisingly well. Now I'm designing the webapp for teachers to orchestrate the whole thing (LMS integration, seeing groups, etc.). I wrote a prototype in Angular 1.x and now that I understand what I'm trying to accomplish really well, it's become my pet project to learn React as I implement a more robust version of it.

I've been working on validating my thought that country music lyrics are all about very similar (and very cliche) topics, and I realized I needed to label all the lyrics I scraped from Genius. Since there are 5000 or so, and I didn't want to have to do all of it myself or rigged with some google doc, I built an app to more easily collect training data. It's generalized to allow for different question types and different documents other than just text as well.

It's also a front in case people want to get in contact for general data scraping or ML needs that I can help with, but the main app is the platform for training data.

I don't have a name for it, which is why it's running with a Heroku url, so suggestions are welcome!

https://fierce-mountain-21498.herokuapp.com/

I got curious about how CPU-intensive it would be to run a server for a game like agar.io or diep.io. In these games there are a lot of circles moving around on a 2D map, and you have to check collisions between them.

First was a naive Python version. Test every circle against every other circle for collision, O(N^2). This way I managed only 200 circles on my playing field. I wanted to see how much faster it would be rewritten in C. That got me to 1500 circles.

Now obviously the way I was checking for collisions is silly, some kind of subdivision of space is required to avoid having to check everything against everything. I split the playing field into a grid, and only test collisions between circles in nearby grid cells. That got me to 3000 circles running in Python.

Next I want to write that in C as well, to see how fast it would go.

A Twitter bot called @AmazonArtReview that tries to find funny 1-star reviews of media on Amazon. It's using some crude machine learning and just a fun side project.

Finding humor's tough! I've read some papers on finding humor in reviews, e.g. https://cs224d.stanford.edu/reports/OliveiraLuke.pdf. That's been helpful. It'd be great if I could use the Yelp review set for finding humor as they did but the humor doesn't translate between data sets. Mostly it's still manual curation, which is ok too.

https://www.twitter.com/AmazonArtReview

I'm working on a command line tool that checks Python virtual environments for packages with known security vulnerabilities: https://github.com/pyupio/safety

Rolling my own ergonomic back-up tools atm (implementing incremental, secure backups of MySQL dbs, IMAP Emails and Filesystem) because solutions already exist and I'm a silly person who hates himself and the safety of his data.

I am re-analyzing a library of galaxy merger simulations to estimate how much of the sky is covered by debris pulled off during the tidal interactions between the two galaxies. This may have important implications for interpretation of datasets on the growth lifetimes of supermassive black holes in the centers of galaxies. The simulations were created for a different purpose (matching observations of mergers to numerical models), but are well-suited to this sky-covering project. So I'm essentially mining those simulations in a monte-carlo fashion.

Self hosted, low footprint system health monitoring for the .NET world. Which actually serves as a good test bed for a couple of open-source projects of mine. One released, one isn't yet.

A multithreaded CSV parser which figures out the types of each column. It's part of a larger project, which is basically Excel, but you use SQL since the sheets are put into an actual database. It's useful for when you need to clean up, manipulate, or query spreadsheets.

I know it's probably been done before, but the goal of the project is to familiarize myself with parsers, multithreading, making a C++ project in general, and the newer features of C++11/C++14.

I am working on a project (using Julia) to "learn" an efficient representation of scale invariant many-body quantum states from a microscopic Hamiltonian. The particular structure being learned is supposed to be highly efficient both in representational complexity and computational complexity for predicting physical observables. (Work in progress at https://github.com/sivark/jumera/ )

Also reading/thinking about ideas at the heart of theoretical physics and machine learning. In particular, I've spent the last several months in trying to understand the following two papers in increasing levels of depth

1. https://arxiv.org/abs/1410.3831

2. https://arxiv.org/abs/1503.02406

Working for the amazing guys at MozillaVR, preparing our next webVR demo using A-Frame (http://aframe.io), to be released very soon!

Our previous one was A-Painter, a kind of tilt brush in a browser (https://blog.mozvr.com/a-painter/). Having lots of fun doing this stuff :)

Snapzu Blog Enhancement Suite: It's essentially a voting community widget that you can embed on your blog to make it a lot more social and engaging. This provides any blog with extra content, extra audience, and additional revenue (with revenue sharing). Right now there are similar widgets out there (Twitter, Pinterest, etc) but most are redundant (showing content that's already on your blog) and not really allowing your audience to participate or engage.

URL: http://blogenhancement.com

Right now were in pre-launch mode (collecting emails of interested bloggers) and are launching all the listed features in about 35 days. This is an add-on to our core community and discussion platform Snapzu (similar to reddit/HN), which has been around for a few years.

A hierarchical 'todo-list'. Aiming to match notepad's ease of use but with a bit more structure and eventual collaborative features. Still very early stage but available here - https://atlas.denchev.io/

Been writing iii and extensions for it the past week.

https://github.com/Foxboron/iii

https://github.com/Foxboron/wii

iii is an reimplementation of ii (http://tools.suckless.org/ii/) with TLS support and a few misc features.

Currently adding small tools over it to make an IRC client. The plan is to have iii as the client, wii as the web-protocol-client and then write tii as a terminal app which can either communicate with wii or iii directly.

It's a neat project to learn go and write small simple programs that come together.

The end goal is to also try stream some development and see how that goes. I really enjoy it so far.

I'm working on an agile/kanban like web app. Similar to Trello, Sprintly, Jira etc. I feel like all of those are lacking something - Trello is trying to be too generic, and Sprintly feels a bit "busy" and not as simple as I think it can be done. JIRA is a whole other story of bloat. I'm mostly doing it to actually get to work on a site that's built using Phoenix and Elixir and so far that's been an absolute blast! Decided to throw some SPA in there as well, as that would give me a clear separation of backend and view logic. So decided to take a look at Vue.js, and that has really blown me away as well. So simple to get started with, and felt productive right away! Really having fun doing this :)

About 5 years ago, I had created a bunch of screencasts around OpenGL. I recently (Nov 1st) finally started recording screencasts again.

I'm making super short daily screencasts now called ProgrammingTIL (~1-8 minutes), currently covering React, WebGL, ImmutableJS, Algorithms (CLRS), and Webpack.

So far, I've done ~40 new videos. You can check them out here:

http://www.youtube.com/iamdavidwparker

I'm slowly building out an email list here:

https://www.programmingtil.com/

Eventually, I'd like to sell some full courses for complete projects as well- not just teaching different small things.

Edi: added quantity of videos, grammar.

Basic project template for compiling SDL2 projects with related libraries and Lua in C++ on Windows: https://bitbucket.org/kennethrapp/sdl_mingw32

It's a batch file that creates project directories, calls a makefile that builds the thing, and then copies the dlls to the build path. Ugly, and probably wrong in any number of ways I'm unaware of, but it works. Once i'm happy with this, I'm planning to get some basic games cloned in C++ and Unity, using it to generate projects.

Also cloning HN in Hack, but don't expect to see that anytime soon, since I can't find anywhere to host it.

I've been teaching myself web development and recently completed a project I started on that's a website/jobs board for remote jobs: https://remotefriendly.work.

I'm writing a math book for programmers. https://jeremykun.com/2016/04/25/book-mailing-list/