I make a range of things, from useful to useless. So, that's why there's a filter below to help you find what you seek!
A library with reinforcement learning algorithms and various state of the art approaches for solving robotics tasks. All in Jax!
A fast Jax based library for multi-armed bandit problems.
Season 1 of the Lux AI Challenge, built for novelty, inclusivity, and accessibility, hosted on Kaggle! This competition is step one in our efforts to build the next generation of AI competitions and environments.
A Reinforcement Learning gym and library in typescript. Implements a OpenAI Gym style interface and enables users to create gym environments with stronger typing, less bugs, and powerful visuals. Provides baseline RL algorithms. Furthermore enables RL on the web!
A Generalized Artificial Intelligence Competition Framework. This framework gives you the power to easily design your own AI competition and let your creativity run free. The framework handles the rest from scalability to security to multi-language support.
I developed the first Java version of the IgushArray, which allows O(1) access and has all the same time complexities of a normal array or Java's ArrayList, but is much faster as it also allows O(n^1/2) insertion and removal.
This is a personal project that is a website that helps visualize machine learning at work with Google's TensorFlow.js or just raw JavaScript through various webapps
This is a website that auto generates poly art. It makes use of Delaunay triangulation, image filtering, computer vision techniques, and Poisson disk sampling to help auto-generate better low-poly art.
A whimsical site about cutting bread. Yep, it's literally about cutting bread and looking at how evenly you can cut it.
