GANPPBO
Research project combining GANSpace and Projective Preferential Bayesian Optimization technique for modelling user's preferences in generated images
Install / Use
/learn @AndrewSukhobok95/GANPPBOREADME
GANspace + PPBO project
Idea
Probabilistic Interactive User Model for Interactive AI
Based on 2 projects:
- GANSpace
- Projective Preferential Bayesian Optimization (PPBO)

Idea Formulation: Adjust image generation model (GAN) to follow user’s preferences using Bayesian Optimization.

Set Up
- Install anaconda or miniconda
- Create environment:
conda create -n ganppbo python=3.7 - Activate environment:
conda activate ganppbo - Open project directory:
cd GANPPBO - Install dependencies:
conda env update -f environment.yml --prune - Setup submodules:
git submodule update --init --recursive - Activate widget extension:
jupyter nbextension enable --py widgetsnbextension
Original project info
Currently, the code of ganspace projects is committed to this repository. Later ganspace is going to be transformed into submodule.
Original repositories:
- https://github.com/harskish/ganspace
- https://github.com/AaltoPML/PPBO
Origial README files:
