Jonathan Whitaker's Projects
Course content and resources for the AIAIART course.
Predicting historical air quality based on satellite data
Resources for a workshop presented at AMLD
Worked example of baobab productivity calculation
Various tools related to the resource assesment of baobabs in Zimbabwe
Starting work on a bird call identification project
Various utilities for automatically counting baobabs from satellite imagery ('bobibabbing') - VERY experimental
Submission to Zindi contest using uber movement data and catboost model
CLOOB Conditioned Latent Diffusion Denoising GAN
Configurable IR Tomography Systems - Final Year Project
Various resources for generating images from noise using CLIP to guide the process.
Place where folks can contribute to 🤗 community events
course.fast.ai 2022 part 2 - under construction
accompanying code and resources forr my blog: https://datasciencecastnet.home.blog
A fastpages repo for my blog (deprecated)
A '100 days of code' style experiment
Trying some tricks to boost diffusion model quality
Work in progress
How fast can you go from 0 to data science? Some resources for getting started.
DSPy: The framework for programming—not prompting—foundation models
A little collection of insects from latent space :)
Attempt at Genuary 2023
Analyzing some card game scores :)
glbview_test - testing a way to view things made in Open Brush. Don't use this code - look at https://github.com/icosa-gallery/icosa-viewer
Global Forest Change dataset, aggregated at country level. Relevant blog: https://datasciencecastnet.home.blog/2019/06/19/new-database-forest-change-in-different-regions/
Optimizable stack of images at different resolutions, a useful representation of images for deep learning tasks. Docs: https://johnowhitaker.github.io/imstack/
Early code written while learning to code. Done during high school from around 2011. Cringe-worthy quality and some classy comments