Ludvig Renbo Olsen's Projects
Discover and install useful RStudio addins
Python library for extracting quantitative, reproducible metrics of multi-level alignment between two speakers in naturalistic language corpora.
Amusing Sentences Generator. Amusing feedback to lighten the mood of statisticians.
A minimal book example using bookdown
R Package: Cross-validate one or multiple gaussian or binomial regression models at once. Perform repeated cross-validation. Returns results in a tibble for easy comparison, reporting and further analysis.
Fork of the DELFI method.
Tool to anonymize DICOM files according to the DICOM standard
Repository for project in Evolutionary Computing at VU
Hi there 🖖, This is my Github README.
Machine learning tools for running repeated nested cross(-dataset)-validation.
A project written in Python to get old tweets, it bypass some limitations of Twitter Official API.
A flexible framework for nucleosome profiling of cell-free DNA
Scripts for analyses in the Griffin manuscript
GROBID extension for identifying and normalizing physical quantities.
R-package: Methods for dividing data into groups. Create balanced partitions and cross-validation folds. Perform time series windowing and general grouping and splitting of data. Balance existing groups with up- and downsampling or collapse them to fewer groups.
RStudio addin for inserting an image into Markdown with file chooser and copy the image file to the project.
kapre: Keras Audio Preprocessors
A tool to detect tissue- and cancer- specific epigenetic signatures in WGS data of liquid biopsies
Utility functions for R and addins for RStudio
GitHub profile repository
A collection of machine learning examples and tutorials.
MEG and fMRI analysis scripts for study group at Adv. Cognitive Neuroscience, AU.
Models built with TensorFlow
fast BAM/CRAM depth calculation for WGS, exome, or targeted sequencing
Code for my MSc thesis.
Nested attributes/dict members utility functions for python.
Exam project for Natural Language Processing at Aarhus University
R package primer: a minimal tutorial on writing R packages