German Cancer Research Center

2x2, 3x3 and nxn Space-Filling Curves

Implementation of all possible forms of 2x2 and 3x3 space-filling curves, and nxn curves expanded from any specific level-1 units. It also implements the H-curve and the three-dimensional Hilbert curve.

Batchgenerators

challengeR

challengeR: Methods and open-source toolkit for analyzing and visualizing challenge results

circlize

Circular layout is an efficient way for the visualization of huge amounts of information. The circlize package provides an implementation of circular layout generation in R.

cola

Subgroup classification is a basic task in genomic data analysis. The cola package provides a general framework for subgroup classification by consensus partitioning.

ComplexHeatmap

Complex heatmaps are efficient in visualizing associations between different sources of data sets and revealing potential patterns. Here the ComplexHeatmap package provides a highly flexible way to arrange multiple heatmaps and supports various annotation graphics.

Computer Vision Experimentation Frameworks - Image Classification

Computer Vision Experimentation Frameworks - Semantic Segmentation

EnrichedHeatmap

Enriched heatmap is a special type of heatmap which visualizes the enrichment of genomic signals on specific target regions. The EnrichedHeatmap package provides advanced solutions for normalizing genomic signals within target regions as well as offering highly customizable visualizations.

fd_shifts

FD-Shifts: A Benchmark for Failure Detection under Distribution Shifts in Image Classification

HilbertCurve

Hilbert curve is a type of space-filling curves that fold one dimensional axis into a two dimensional space, but with still preserves the locality. This package aims to provide an easy and flexible way to visualize data through Hilbert curve.

InteractiveComplexHeatmap

InteractiveComplexHeatmap is an R package that converts static heatmaps produced from ComplexHeatmap package into an interactive Shiny app only with one extra line of code.