If you want to:

• Integrate deep learning-powered features into a Unity project.
• Understand the possible applications and use cases that deep learning enables in Unity.
• Understand the real-world considerations and constraints of adding deep learning-powered features to your Unity project.
• Understand and leverage the existing tools that can increase efficiency or reduce time-to-shipping features.

Then I can help! If you’ve got a project or job position that could benefit from my skills, I’d love to hear from you. Please email me at [email protected] or use the form here.

Posts

• How to Create a LibTorch Plugin for Unity on Windows Pt. 3

  Part 3 covers modifying the Unity project from the fastai-to-unity tutorial to classify images with a LibTorch DLL.

  Jun 28, 2022

• How to Create a LibTorch Plugin for Unity on Windows Pt. 2

  Part 2 covers creating a dynamic link library (DLL) file in Visual Studio to perform inference with TorchScript modules using LibTorch.

  Jun 28, 2022

• How to Create a LibTorch Plugin for Unity on Windows Pt. 1

  This follow-up to the fastai-to-unity tutorial covers creating a LibTorch plugin for the Unity game engine. Part 1 covers the required modifications to the original training code.

  Jun 28, 2022

• Fastai to Unity Beginner Tutorial Pt. 3

  Part 3 covers building a Unity project to run in a web browser and hosting it using GitHub Pages.

  Jun 8, 2022

• Fastai to Unity Beginner Tutorial Pt. 2

  Part 2 covers implementing a trained model in a Unity project.

  Jun 7, 2022

• Fastai to Unity Beginner Tutorial Pt. 1

  This beginner tutorial covers how to train an image classifier using the fastai library and implement it in a Unity game engine project using the Barracuda inference library. Part 1 covers training and exporting a model.

  Jun 6, 2022

• Getting Started With Deep Learning in Unity

  This post provides an overview of Unity's Barracuda inference library for executing deep learning models on user devices.

  May 28, 2022

• Notes on No ML Degree Book

  My notes on Emil Wallner's guide on how to land your first machine learning job without a degree.

  May 27, 2022

• Notes on The 🤗 Deep RL Class Pt.2

  Unit 2 introduces monte carlo, temporal difference learning, and Q-learning.

  May 26, 2022

• Notes on The 🤗 Deep RL Class Pt.1

  Unit 1 introduces the basic concepts for reinforcement learning and covers how to train an agent for the classic lunar lander environment.

  May 5, 2022

• Notes on Transformers Book Ch. 11

  Chapter 11 explores scaling up transformers, methods to make self-attention more efficient, and multimodel transformers.

  Apr 26, 2022

• Notes on Transformers Book Ch. 10

  Chapter 10 covers how to train a GPT-like model to generate Python source code from scratch.

  Apr 25, 2022

• Notes on Transformers Book Ch. 9

  Chapter 9 covers how to deal with few to no labels by training a model that automatically tags GitHub issues for the Hugging Face Transformers library.

  Apr 22, 2022

• Notes on Transformers Book Ch. 8

  Chapter 8 covers different methods to make transformer models more efficient in production.

  Apr 14, 2022

• Notes on Transformers Book Ch. 7

  Chapter 7 covers building a question-answering model that finds answers to questions in customer reviews.

  Apr 12, 2022