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Amsterdam

Karen Ullrich

Elite
@KarenUllrich

Research scientist (s/h) at FAIR NY + collab. w/ Vector Institute. <3 Deep Learning + Information Theory. Previously, Machine Learning PhD at UoAmsterdam.

Tutorial_BayesianCompressionForDL. A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).

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Tutorial-SoftWeightSharingForNNCompression. A tutorial on 'Soft weight-sharing for Neural Network compression' published at ICLR2017

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Pytorch-Backprojection. This code accompanies "Differentiable probabilistic models of scientific imaging with the Fourier slice theorem", UAI 2019

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pytorch-binary-converter. Turning float tensors to binary tensors according to IEEE-754 standard.

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binary-VAE. A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.

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Spearmint-TheanoEdition. Spearmint uses Gaussian Processes to automatically optimize hyper parameter. This is a fork of Spearmint for the deep learning community. More specifically, it provides support for Theano users.

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models. Models and examples built with TensorFlow

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