Intro

Jonathan Whitaker
Hello there! I'm @johnowhitaker - welcome to my W&B profile 😀 If you're looking for more info on me, you may also want:
- My DataScienceCastnet blog and YouTube channel where I document some of the projects I've been working on
🔍 Besides that, check out the pinned reports below for a small glimpse at the kinds of things I'm interested in.
Reports
Fun With Neural Cellular Automata
In this article, we take a look at how to make pretty pictures using differentiable self-organizing systems, using Weights & Biases to keep track of our results.
Mid-U Guidance: Fast Classifier Guidance for Latent Diffusion Models
Introducing a new method for diffusion model guidance with various advantages over existing methods, demonstrated by adding aesthetic guidance to Stable Diffusion.
A Deep Dive Into OpenCLIP from OpenAI
This article explores an open re-implementation of OpenAI's CLIP model for zero-shot classification and covers its additional uses and its potential issues.
Mapping Economic Well-being
Mini-project for the W&B MLOps course
New Techniques for Generating Images With Text
In this article, we'll look at Image Generation with CLOOB Conditioned Latent Denoising Diffusion Generative Adversarial Networks (GANs), or CCLDDG, for short.
WhistleGen V2: Making Music With Transformers
This article will dive into how the second version of WhistleGen works and explores how it enables you to generate folk music in ABC notation using minGPT.
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