schulter
Computer scientist with specialization in machine learning and robotics. PhD in computational Biology where I used graph deep learning to predict cancer genes.
Max Planck Institute for molecular GeneticsBerlin
Pinned Repositories
artificialNeuralNet
An efficient implementation of a fully connected neural network
CoronaTree
A phylogenetic tree to determine Covid-19 spread and sequence similarity
crbm
Unsupervised learning of DNA sequence features
DeepExplain
A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)
EMOGI
An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.
GermanRoadsignDetection
Classifies german road signs by using a convolutional neural network.
git_intro
NetSim
Simulate networks with implanted graph motifs (cliques, stars, etc)
schulter.github.io
WaggleDetection
Detect waggle dances of bees
schulter's Repositories
schulter/EMOGI
An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.
schulter/crbm
Unsupervised learning of DNA sequence features
schulter/DeepExplain
A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)
schulter/CoronaTree
A phylogenetic tree to determine Covid-19 spread and sequence similarity
schulter/artificialNeuralNet
An efficient implementation of a fully connected neural network
schulter/GermanRoadsignDetection
Classifies german road signs by using a convolutional neural network.
schulter/git_intro
schulter/NetSim
Simulate networks with implanted graph motifs (cliques, stars, etc)
schulter/schulter.github.io
schulter/WaggleDetection
Detect waggle dances of bees