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GANPPBO

Research project combining GANSpace and Projective Preferential Bayesian Optimization technique for modelling user's preferences in generated images

Install / Use

/learn @AndrewSukhobok95/GANPPBO
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

GANspace + PPBO project

Idea

Probabilistic Interactive User Model for Interactive AI

Based on 2 projects:

  • GANSpace
  • Projective Preferential Bayesian Optimization (PPBO)

original projects

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

original projects

Set Up

  1. Install anaconda or miniconda
  2. Create environment: conda create -n ganppbo python=3.7
  3. Activate environment: conda activate ganppbo
  4. Open project directory: cd GANPPBO
  5. Install dependencies: conda env update -f environment.yml --prune
  6. Setup submodules: git submodule update --init --recursive
  7. 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:

View on GitHub
GitHub Stars5
CategoryEducation
Updated4y ago
Forks1

Languages

Jupyter Notebook

Security Score

55/100

Audited on Aug 26, 2021

No findings