ratschlab Goto Github PK

adaboost

Adaboost-Reg and RBF-Network code

adaptive-stepsize-boosting-bbvi

aestetik

AESTETIK: AutoEncoder for Spatial Transcriptomics Expression with Topology and Image Knowledge

aki-ews

arts

Accurate Recognition of Transcription Starts

asp

Accurate Splice Site Predictions

bnn_priors

Code for the paper "Bayesian Neural Network Priors Revisited"

boosting-bbvi

circews

circEWS public code

clinical-embeddings

Repository for the Paper: „On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series“

counting_dbg

Lossless Indexing with Counting de Bruijn Graphs

covidtracker-backend

COVID-19 Tracker

dgp-vae

Disentangled GP-VAE

dpsom

Code associated with ACM-CHIL 21 paper 'T-DPSOM - An Interpretable Clustering Method for Unsupervised Learning of Patient Health States'

dsa-for-eep

Code repository for: "Dynamic Survival Analysis for Early Event Prediction"

dss

The Dyadic Snapshot Scheduler written by Andre Noll and Daniel Richard G. Details can be found here: http://git.tuebingen.mpg.de/cgi-bin/gitweb.cgi?p=dss.git

easysvm

The EasySVM Toolbox based on Shogun

famews

FAMEWS: A Fairness Auditing tool for Medical Early-Warning Systems

faster-hcgm-composite

genome_graph_annotation

Sparse Binary Relation Representations for Genome Graph Annotation

genomic-gnn

Repository for the paper "Learning Genomic Sequence Representations using Graph Neural Networks over De Bruijn Graph"

gp-vae

TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155

graph_annotation

Code accompanying the publication for compressed graph annotation

gromics

Collection of tools and utilities for *omics analyses

hif_splicing_code_public

public repo for the code used in "Characterisation of HIF-dependent alternative isoforms in pancreatic cancer"

hirid-icu-benchmark

Repository for the HiRID ICU Benchmark (HiB) project

hmsvmtoolbox

The Hidden Markov SVM Toolbox

icu-benchmark-biases

Fork of the HIRID-ICU-Benchmark used to study fairness concerns for the fair ML in ICU project.

immunopepper

Code for the ImmunoPepper project

laplace

Laplace approximations for Deep Learning.