Projects in Awesome Lists by KarenUllrich
A curated list of projects in awesome lists by KarenUllrich .
https://github.com/karenullrich/tutorial_bayesiancompressionfordl
A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).
Last synced: 17 Mar 2025
https://github.com/KarenUllrich/Tutorial-SoftWeightSharingForNNCompression
A tutorial on 'Soft weight-sharing for Neural Network compression' published at ICLR2017
Last synced: 27 Nov 2024
https://github.com/karenullrich/tutorial-softweightsharingfornncompression
A tutorial on 'Soft weight-sharing for Neural Network compression' published at ICLR2017
Last synced: 17 Mar 2025
https://github.com/karenullrich/pytorch-backprojection
This code accompanies "Differentiable probabilistic models of scientific imaging with the Fourier slice theorem", UAI 2019
Last synced: 17 Mar 2025
https://github.com/karenullrich/pytorch-binary-converter
Turning float tensors to binary tensors according to IEEE-754 standard.
binary floating-point ieee-754 ieee754 pytorch
Last synced: 17 Mar 2025
https://github.com/karenullrich/binary-vae
A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.
bernoulli binary concrete-distribution tensorflow tensorflow-eager tensorflow-probability vae variational-autoencoder variational-inference
Last synced: 17 Mar 2025
https://github.com/karenullrich/discretecatchup
Experiments for continuous to binary and back
Last synced: 02 Apr 2025
https://github.com/karenullrich/hdtoolspython
A toolbox for analyzing high dimensionality issues in machine learning. Written in Python.
Last synced: 02 Apr 2025