Projects

ArXiv Xplorer is a semantic search website for papers on arXiv. It uses OpenAI's embeddings API to embed papers and queries, returning results that are semantically similar. It gets about 10000 visitors per month.

Reinforcement learning algorithms tend to require extensive amounts of experience in order to learn in a particular environment. Additionally, they tend to memorize particular environments, like a platformer level, in order to succeed. The Procgen benchmark challenges participants to improve on generalisation and sample efficiency over several procedurally generated tasks. In this challenge, I achieved 4th place out of 704 participants in generalisation and 9th in sample efficiency, with a mean normalized reward of 0.72 across environments. Read the PMLR workshop paper here.

In this Kaggle competition the challenge was to diagnose diabetic retinopathy on a scale from 1-5. The challenge was particularly difficult due to the variation in the dataset and the subtlety in the diagnoses (including incorrect diagnoses). In this challenge, I trained an ensemble of EfficientNets on both the classification and regression objectives to achieve 63rd place out of 2931 participants.

Understanding why neural networks make certain predictions is a difficult job considering the sheer number of highly non-linear interactions between neurons. In this work, I explore several interpretation methods that can shine light onto why a network does what it does. In particular, I apply this to a medical task (diagnosing diabetic retinopathy) with the hope of improving understanding of neural network models used in the medical field.

Cloud compute prices constantly change and I often find myself looking at pricing pages again and again. This CLI allows you to instantly compare prices for a particular machine type (CPUs, RAM, GPUs).

Image registration is the task of taking an input "moving" image and transforming it into an output "fixed" image which has been spatially aligned. This project uses a spatial transformer network as described here, and compares it to a classical image processing approach. Done with @senyosimpson.

Mined for change is a website that allows users to mine cryptocurrency in their browser. The funds generated by the mining are automatically directed to the Effective Altruism Foundation's top rated charity - the Against Malaria Foundation. Users do not have to pull out a credit card to give and can give at any time of the day. Together with thousands of other people, this method could raise thousands of extra dollars for charity.

NAND2Tetris is an online course that goes through building a basic computer from scratch using NAND gates. In the first half, the hardware components (logic gates, memory, ALU, CPU) are built using a hardware description language. In the second half, the software (assembler, translator, VM, compiler, OS) is created, culminating in writing an application for the computer (I wrote Game of Life.)

The aim of the Prostate Cancer Grade Assessment Challenge was to predict the ISUP grade level of prostate cancer present in whole slide images. This was difficult due to the large images with a small amount of tissue and significant label noise due to conflicting diagnoses. My solution scored a quadratic-weighted kappa score of 0.91 on the test set.

sliceofpy is a command line 3D object slicer. The slicer converts input .obj files into output Gcode files by slicing the 3D model into layers. The Gcode files can be executed on a 3D printer to print the objects. The slicer is configurable by several command line arguments or it can be imported as a script.

Keeping up with the rapidly evolving Ethereum project is tough - particularly with the intense development of new features, improvements and breaking changes. This list aims to provide a collection of all the resources I (and others) have found useful when learning about the Ethereum platform. This is one of many Awesome Lists.

A society at the University of Cape Town that teaches students how to understand, use and build on machine learning and blockchain advances. We run workshops, have talks and lectures and interact with companies looking to find new talent in these areas.

This project is a simple site that allows a user to serve a PyTorch or Fastai model from a Django server. The model can be queried via a browser interface, a Telegram bot or simple REST api calls.

This DApp was created to help teach a workshop for CryptoSoc and show some of the inner workings of DApps and smart contracts. It allows users to bet on winning a pot and will automatically pay out after a set amount of time.

Over the course of 3 consecutive Saturdays, I led a workshop teaching students to create a Decentralized Application (DApp). The DApp used the Ethereum blockchain, a React frontend and was deployed to Heroku and GitHub pages. Students were encouraged to team up and create their own applications using the Truffle box that was made as a starting point.