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A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

Code and data used to create the examples in "Evidence-based Software Engineering based on the publicly available data"

  • cognitive-capitalism
  • cognitive-science
  • economic-models
  • ecosystem-modeling

Haplotype-aware CNV analysis from single-cell RNA-seq, ATAC-seq, and multiome

  • cancer-genomics
  • cnv-detection
  • single-cell
  • phylogeny

Data Access Client for Global Surface Summary of the Day (GSOD) Weather Written in R

  • r
  • weather-data
  • gsod
  • ncdc

an R package that automates performance testing of ML models and summarizes the results in a dashboard w/ rad visualizations

NeuroAnatomy Toolbox: An R package for the (3D) visualisation and analysis of biological image data, especially tracings of single neurons.

  • r
  • neuroanatomy-toolbox
  • cran
  • neuron