Name		Name	Last commit message	Last commit date
LICENSE		LICENSE
README.md		README.md
TODO		TODO
demo_metric.py		demo_metric.py
factor_vae_dsprites_v2.py		factor_vae_dsprites_v2.py
factor_vae_mine.py		factor_vae_mine.py
factor_vae_mine_v3.py		factor_vae_mine_v3.py
lite_vae_dsprites.py		lite_vae_dsprites.py
mine.py		mine.py
mine_f.py		mine_f.py
vae_dsprites_v2.py		vae_dsprites_v2.py

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FactorVAE

A TensorFlow implementation of FactorVAE, proposed in "Disentangling by Factorising" by Kim et al. (https://arxiv.org/abs/1802.05983).

This implementation use the dSprites dataset. You can download it from: https://github.com/deepmind/dsprites-dataset

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A TensorFlow implementation of FactorVAE, proposed in "Disentangling by Factorising" by Kim et al.

deep-learning deep-neural-networks disentangled-representations dsprites factor-vae factorvae machine-learning mine tensorflow unsupervised-learning vae

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