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https://github.com/borgwardtlab/homebrew-mlcb

Homebrew taps of the Machine Learning and Computational Biology group of Prof. Karsten Borgwardt
https://github.com/borgwardtlab/homebrew-mlcb

homebrew homebrew-tap

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Homebrew taps of the Machine Learning and Computational Biology group of Prof. Karsten Borgwardt

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README

        

[![MLCB Logo](MLCB.png "MLCB")](https://www.bsse.ethz.ch/mlcb)

This is the [Homebrew](https://brew.sh) tap repository of the [Machine Learning and Computational Biology
Lab](https://www.bsse.ethz.ch/mlcb), led by [Prof. Karsten Borgwardt](https://www.bsse.ethz.ch/mlcb/karsten.html).

To use the formulas in this repository, please issue the following
command:

$ brew tap BorgwardtLab/mlcb

This will import *all* formulas into your local installation such
that you may use

$ brew install NAME

subsequently in order to install individual packages.

# Packages

- [DIPHA](https://github.com/BorgwardtLab/dipha): A distributed persistent homology algorithm

- [Ripser](https://github.com/Ripser/ripser): A lean C++ code for the computation of Vietoris–Rips persistence barcodes

- [Rivet](https://github.com/rivetTDA/rivet): A tool for Topological Data Analysis, in particular two-parameter persistent homology

- [S3M](https://github.com/BorgwardtLab/S3M): A package for statistically significant shapelet mining

- [SiNIMin](https://github.com/BorgwardtLab/SiNIMin): A package for significant network interval mining