Skip to content
No description, website, or topics provided.
Jupyter Notebook Python
Branch: master
Clone or download
Latest commit b3102aa Jan 30, 2019
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
assets back to png Feb 7, 2018
gs fix persistence Jan 29, 2019
.gitignore add setup script Dec 15, 2018
README.md Update README.md May 22, 2018
example-mnist.ipynb mnist example Feb 13, 2018
examples-basic.ipynb mnist example Feb 13, 2018
setup.py add setup script Dec 15, 2018

README.md

Geometry Score: A Method For Evaluating Generative Adversarial Networks

Python implementation of the algorithms from the paper. If you use this algorithm in your research we kindly ask you to cite our work

@article{khrulkov2018geometry,
  title={Geometry {S}core: {A} {M}ethod {F}or {C}omparing {G}enerative {A}dversarial {N}etworks},
  author={Khrulkov, Valentin and Oseledets, Ivan},
  journal={arXiv preprint arXiv:1802.02664},
  year={2018}
}

manifolds

Prerequisites

Basic usage

import numpy as np
import gs
X = np.random.rand(1000, 2)
rlt = gs.rlts(X, L_0=32, gamma=1.0/8, i_max=100, n=100)
mrlt = np.mean(rlt, axis=0)

For more details see the MNIST example and toy examples .

You can’t perform that action at this time.