Autonomous Driving in the Unity Engine

less than 1 minute read

Published:

Training a neural network to drive a car along a virtual track.

Description:

I created a Python implementation of the 2016 paper End to End Learning for Self-Driving Cars by Bojarski et al. The implementation reproduces the results of the paper in a driving simulation constructed in the Unity game engine. The full code, installation instructions, and technical report are on the project’s GitHub page.

Teaser Image:

Simulated Track

You May Also Enjoy

Literature Notes: On-Device LLM Training

11 minute read

Published:

Collection of notes from papers on the topic of training LLMs (and where possible, ML models in general) on edge devices. Most software libraries and literature aimed at on device operation are aimed at efficient inference. Training on device is a less-developed area. Training on device is useful in applications where a model must be fine tuned for individual use cases.

Python Bindings for Performance Optimization: A Zero to One Guide

8 minute read

Published:

This article describes techniques to accelerate a Python codebase by exposing parallelized C++ functions using PyBind. It then analyzes the results of the optimization in which parallelizing one 40-line function in a 700-line program yielded up to a 3X end-to-end speedup.

Segmentation For Holographic Images

2 minute read

Published:

Patent I authored while working at Microsoft. Describes an image segmentation technique for producing photorealistic human holograms.