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binary-vae

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

bits-back

bitswap

Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables

discretecatchup

Experiments for continuous to binary and back

examples

hdtoolspython

A toolbox for analyzing high dimensionality issues in machine learning. Written in Python.

hidden-networks

karenullrich.github.io

models

Models and examples built with TensorFlow

multiset-compression

Official code accompanying the arXiv paper Compressing Multisets with Large Alphabets

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-backprojection

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

pytorch-binary-converter

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

spearmint-for-theano

Spearmint Bayesian optimization codebase

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.

tensorflow

Computation using data flow graphs for scalable machine learning

theano

Optimizing GPU-meta-programming code generating array oriented optimizing math compiler in Python

tutorial-softweightsharingfornncompression

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

tutorial_bayesiancompressionfordl

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

uva-iai.github.io

Homepage of UVA IAI