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[Literature survey] unsupervised learning with auto-encoder #7

Open fairhouse opened 5 years ago

fairhouse commented 5 years ago

VAE and DAE: basic principles and tools

fairhouse commented 5 years ago

Blog post about VAE: https://jaan.io/what-is-variational-autoencoder-vae-tutorial/ http://kvfrans.com/variational-autoencoders-explained/

Implementation of VAE in Pytorch: https://github.com/pytorch/examples/tree/master/vae

Keras implementation of VAE: https://github.com/keras-team/keras/blob/master/examples/variational_autoencoder.py

Original paper on VAE: https://arxiv.org/abs/1312.6114

fairhouse commented 5 years ago

Keras implementation of Denoising Auto Encoder: https://github.com/keras-team/keras/blob/master/examples/mnist_denoising_autoencoder.py https://www.kaggle.com/rspadim/simple-denoise-autoencoder-with-keras

fairhouse commented 5 years ago

This issue is assigned to Quan and Hao, please work as a team to survey important technical backgrounds and efficient implementation in either Keras, Pytorch or Tensorflow.