https://github.com/conradsnicta/mlpack
mlpack: a fast, header-only C++ machine learning library
https://github.com/const-ae/myworkflowmanager
This is a simple self-written R workflow manager for slurm systems that I use to automate the submission of jobs
https://github.com/const-ae/pylemur
A Python implementation of the LEMUR algorithm for analyzing multi-condition single-cell RNA-seq data.
https://github.com/const-ae/exactplot
Produce scientific figures in R that look exactly how you want
https://github.com/const-ae/shinytreelabel
Companion package to treelabel to interactively explore datasets
https://github.com/const-ae/kmeanspoi
R package for K-means clustering of Counts
https://github.com/const-ae/transformgampoi-shinyapp
Source code for the Shiny App of Comparison of Transformations for Single-Cell RNA-Seq Data
https://github.com/const-ae/highlyreplicatedrnaseq
Collection of Bulk RNA-Seq Experiments With Many Replicates
https://github.com/const-ae/ggplot2_basics_to_extensions
Material from my talk "ggplot2: whistlestop tour from basics to extensions" at the Oxford R User group meetup.
https://github.com/const-ae/githubactionstestpackage
R package to play around with Github Actions
https://github.com/const-ae/neural_network_dna_demo
Jupyter Notebook to demonstrate the use of Neural Networks for Transcription Factor Binding Site Prediction
https://github.com/const-ae/coefexplainer
Understand How to Interpret the Coefficients of a Categorical Linear Model