s.watanabe's starred repositories

pitagora-cwl

Common Workflow Language tools and workflows by Pitagora-Network

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r-pkgs

Building R packages

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data-science-at-the-command-line

Data Science at the Command Line

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k8s-cluster-simulator

Kubernetes cluster simulator for evaluating schedulers.

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picrust2

Code, unit tests, and tutorials for running PICRUSt2

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phyloseq

phyloseq is a set of classes, wrappers, and tools (in R) to make it easier to import, store, and analyze phylogenetic sequencing data; and to reproducibly share that data and analysis with others. See the phyloseq front page:

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phangorn

Phylogenetic analysis in R

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python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

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microbiome-data

For anyone who wants to share and compare their microbiome data.

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microbiome-tools

For tool creators to share their inventions that analyze, visualize, and make meaning of microbiome data.

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self_taught

This repository contains the exercises for "The Self-Taught Programmer: The Definitive Guide to Programming Professionally."

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omixer-rpm

A Reference Pathways Mapper for turning metagenomic functional profiles into pathway/module profiles.

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dmbvs

Dirichlet-Multinomial Bayesian Variable Selection

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pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

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ScienceR

Wonderful R4 自然科学研究のためのR入門: 再現可能なレポート執筆実践 のサポートページです。

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dtreeviz

A python library for decision tree visualization and model interpretation.

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algorithms

This repository is for learning and understanding how algorithms work.

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introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

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statistics-for-data-scientists

Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"

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ISCPP

Introduction to Scientific Computing and Programming in Python

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hypertools

A Python toolbox for gaining geometric insights into high-dimensional data

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RStanBook

『StanとRでベイズ統計モデリング』のサポートページです.

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