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A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).
A tutorial on 'Soft weight-sharing for Neural Network compression' published at ICLR2017
This code accompanies "Differentiable probabilistic models of scientific imaging with the Fourier slice theorem", UAI 2019
A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.
A collection of tools for neural compression enthusiasts.
Generic image compressor for machine learning. Pytorch code for our paper "Lossy compression for lossless prediction".
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