ssehztirom

GCB-2022-WS1

patternextractor.jl

interpretable-generative-deep-learning

introduction-Julia-

html_css_js

Example code for learning web development

LogLinearModels.jl

Fitting of log linear models via iterative proportional fitting

scikit-survival

Survival analysis built on top of scikit-learn

Synthetic-observations-from-deep-generative-models-and-binary-omics-data-with-limited-sample-size

PatternsByLogLin.jl

Extract patterns from categorical data in Julia.

erum-2020

Jupyter notebook for the talk at eRUM 2020

DNDT

Deep Neural Decision Trees

Exploring-generative-deep-learning-for-omics-data-by-using-log-linear-models

covid19_inference

Bayesian python toolbox for inference and forecast of the spread of the Coronavirus

distill-nn-tree

Distillation of Neural Network Into a Soft Decision Tree

julia-python

Installing Julia and Python environments

bio_corex

A flexible version of CorEx developed for bio-data challenges that handles missing data, continuous/discrete variables, multi-CPU, overlapping structure, and includes visualizations

foerster-hess-immune-contexture-2018

Test

BoltzmannMachines.jl

A Julia package for training and evaluating multimodal deep Boltzmann machines

ProteomicsScripts

Flux.jl

Relax! Flux is the ML library that doesn't make you tensor

scVI

Deep generative modeling for single-cell transcriptomics

scVAE

Deep learning for single-cell transcript counts

scVI-reproducibility

Reproducing the experiments of the paper "Deep generative modeling for single-cell transcriptomics"

reimer

contrastive

Contrastive PCA

sequential-selection

sequential selection procedures

noto-emoji

Noto Emoji fonts

model-zoo

Please do not feed the models

splatter-paper

Data and analysis for the Splatter paper

tensorflow_tutorials

From the basics to slightly more interesting applications of Tensorflow