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code for the paper "Improved Techniques for Training GANs"
Python3 / Tensorflow implementation of PixelCNN++, as described in "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"
Make huge neural nets fit in memory
Example code for Weight Normalization, from "Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks"
Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"
My second place solution to the Higgs Boson Machine Learning Challenge
in the last year
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