Parametric UMAP

Posted on Sat 03 October 2020 in Machine Learning • Tagged with UMAP, Parametric UMAP, Dimensionality Reduction

Our new paper, "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning" is on arXiv.


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Generative Adversarial Interpolative Autoencoding (GAIA)

Posted on Sun 07 October 2018 in Machine Learning • Tagged with tensorflow, gan, adversarial, convex, autoencoder, GAIA

A novel interpolation-based Generative Adversarial Network / Autoencoder written in Tensorflow


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Variational Autoencoder in Tensorflow (Jupyter Notebook)

Posted on Sat 07 July 2018 in Machine Learning • Tagged with tensorflow, vae, variational autoencoder, python, autoencoder

A simple quick Variational Autoencoder in Tensorflow


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