Collection of autoencoder models in Tensorflow
-
Updated
Nov 30, 2019 - Python
Collection of autoencoder models in Tensorflow
simple keras based vanilla autoencoder for recreating MNIST with a 10 dimension bottleneck
Collection of deep generative model implementations and experiments.
Unsupervised cell population identification using three steps: pre-processing, dimension reduction, and clustering.
Add a description, image, and links to the vanilla-autoencoder topic page so that developers can more easily learn about it.
To associate your repository with the vanilla-autoencoder topic, visit your repo's landing page and select "manage topics."