Creating doodles with HED detection and ControlNet
Want to use your profile image and use this alongside edge detection and stable diffusion to generate an image based off your profile? Then, you are in luck and should read this post.
Building a PyTorch binary classification multi-layer perceptron from the ground up
This assumes you know how to programme in Python and know a little about n-dimensional arrays and how to work with them in numpy (don’t worry if you don’t I got you covered). PyTorch is a pythonic way of building Deep Learning neural networks from scratch. This is something I have been learning over the…
Graph Data Modeling with Python
I am so excited to announce that I have a new book (in collaboration with Packt) that has just been launched,…
Fine tune a Dreambooth model for image generation using Stable Diffusion with PyTorch
I recently did a great talk at Leeds Data Science, where I presented how to fine tune a Stable Diffusion model,…
Using ControlNet models to remodel my living room
This post will use an old image of my house before I bought it, and remodelled the living room, to see…
Stable Diffusion model for generating images of Fjords
My family had the experience of going to the Norwegian Fjords in May 2022 and I took some great pictures on…
Stable Diffusion application with Streamlit
This combines my love of Deep Learning and Transformer frameworks, with the ability to generate images from textual prompts. First of…
Building a TidyModels classification model from scratch and deploying with Vetiver
The awesome TidyModels team have been working hard to populate the tidymodels package and make it even easier to get your…
Hyperparameter tuning a Transformer with Optuna
Learn how to use Optuna with the transformers large language model library
Build a PyTorch regression MLP from scratch
Shows how to build a MLP regression network from scratch with PyTorch.