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

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
Notes on Transformers Book Ch. 6
Chapter 6 covers building an encoder-decoder model to condense dialogues between several people into a crisp summary.
Apr 10, 2022
Notes on Transformers Book Ch. 5
Chapter 5 covers different methods for generating text with GPT-2.
Apr 8, 2022
Notes on Transformers Book Ch. 4
Chapter 4 covers fine-tuning a multilingual transformer model to perform named entity recognition.
Apr 7, 2022
Notes on Transformers Book Ch. 3
Chapter 3 covers the Transformer architecture and different types of transformer models available on the Hugging Face Hub.
Apr 6, 2022
Notes on Transformers Book Ch. 2
Chapter 2 covers training a model to classify emotions expressed in Twitter messages.
Apr 1, 2022
Notes on Transformers Book Ch. 1
Chapter 1 covers essential advancements for transformers, recurrent architectures, the encoder-decoder framework, attention mechanisms, transfer learning in NLP, and the HuggingFace ecosystem.
Mar 30, 2022
Notes on fastai Book Ch. 19
Chapter 19 covers creating a fast.ai Learner from scratch.
Mar 29, 2022
Notes on fastai Book Ch. 18
Chapter 18 covers interpreting convolutional neural networks using class-activation maps.
Mar 29, 2022
Notes on fastai Book Ch. 17
Chapter 17 covers building a neural network from the foundations.
Mar 29, 2022