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Jonathan Whitaker's Projects

aiaiart icon aiaiart

Course content and resources for the AIAIART course.

baobab_project icon baobab_project

Various tools related to the resource assesment of baobabs in Zimbabwe

birdio icon birdio

Starting work on a bird call identification project

bobibabber icon bobibabber

Various utilities for automatically counting baobabs from satellite imagery ('bobibabbing') - VERY experimental

cclddg icon cclddg

CLOOB Conditioned Latent Diffusion Denoising GAN

cirts icon cirts

Configurable IR Tomography Systems - Final Year Project

cliprgb icon cliprgb

Various resources for generating images from noise using CLIP to guide the process.

course22p2 icon course22p2

course.fast.ai 2022 part 2 - under construction

datasciencecastnet icon datasciencecastnet

accompanying code and resources forr my blog: https://datasciencecastnet.home.blog

dm_fun icon dm_fun

Trying some tricks to boost diffusion model quality

ds_zero icon ds_zero

How fast can you go from 0 to data science? Some resources for getting started.

dspy icon dspy

DSPy: The framework for programming—not prompting—foundation models

gansects icon gansects

A little collection of insects from latent space :)

glbview_test icon glbview_test

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

hansen_data_countries icon hansen_data_countries

Global Forest Change dataset, aggregated at country level. Relevant blog: https://datasciencecastnet.home.blog/2019/06/19/new-database-forest-change-in-different-regions/

imstack icon imstack

Optimizable stack of images at different resolutions, a useful representation of images for deep learning tasks. Docs: https://johnowhitaker.github.io/imstack/

in_the_beginning icon in_the_beginning

Early code written while learning to code. Done during high school from around 2011. Cringe-worthy quality and some classy comments

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