jmaces

Machine Learning Researcher | Mathematician

Technische Universität BerlinBerlin

Pinned Repositories

aapm-ct-challenge
AAPM DL Sparse-View Computed Tomography Image Reconstruction Challenge - Team Robust-And-Stable
Language:Python46 3 26
innvestigate
A toolbox to iNNvestigate neural networks' predictions!
Language:Python0 2 00
jmaces.github.io
public content of my personal website
Language:HTML0 1 00
keras-adf
Tensorflow/Keras implementation of Assumed Density Filtering (ADF) based probabilistic neural networks
Language:Python14 1 22
mfo_dl_seminar_2018
Materials for the practical session and from the lectures of the Oberwolfach Seminar: Mathematics of Deep Learning
Language:Jupyter Notebook6 4 13
rde
Official implementation of the paper "A Rate-Distortion Framework for Explaining Neural Network Decisions" by J. Macdonald, S. Wäldchen, S. Hauch and G. Kutyniok (2019).
Language:Python4 2 10
robust-nets
Official implementation of the paper "Solving Inverse Problems With Deep Neural Networks - Robustness Included?" by M. Genzel, J. Macdonald, and M. März (2020).
Language:Python28 3 15
statstream
Statistics for Streaming Data
Language:Python9 0 11
torch-adf
PyTorch implementation of Assumed Density Filtering (ADF) based probabilistic neural networks
Language:Python2 1 00
pytorch_radon
Pytorch implementation of scikit-image's radon function and more
Language:Python25 2 311

jmaces/aapm-ct-challenge
AAPM DL Sparse-View Computed Tomography Image Reconstruction Challenge - Team Robust-And-Stable
Language:Python46 3 26
jmaces/robust-nets
Official implementation of the paper "Solving Inverse Problems With Deep Neural Networks - Robustness Included?" by M. Genzel, J. Macdonald, and M. März (2020).
Language:Python28 3 15
jmaces/keras-adf
Tensorflow/Keras implementation of Assumed Density Filtering (ADF) based probabilistic neural networks
Language:Python14 1 22
jmaces/statstream
Statistics for Streaming Data
Language:Python9 0 11
jmaces/mfo_dl_seminar_2018
Materials for the practical session and from the lectures of the Oberwolfach Seminar: Mathematics of Deep Learning
Language:Jupyter Notebook6 4 13
jmaces/rde
Official implementation of the paper "A Rate-Distortion Framework for Explaining Neural Network Decisions" by J. Macdonald, S. Wäldchen, S. Hauch and G. Kutyniok (2019).
Language:Python4 2 10
jmaces/torch-adf
PyTorch implementation of Assumed Density Filtering (ADF) based probabilistic neural networks
Language:Python2 1 00
jmaces/innvestigate
A toolbox to iNNvestigate neural networks' predictions!
Language:Python0 2 00
jmaces/jmaces.github.io
public content of my personal website
Language:HTML0 1 00