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nb_conda_kernels
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public |
Launch Jupyter kernels for any installed conda environment.
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2025-03-25 |
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dtreeviz
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public |
A Python 3 library for sci-kit learn decision tree visualization
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2025-03-25 |
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blackcellmagic
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public |
IPython wrapper to format cell using black.
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2025-03-25 |
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first
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public |
Return the first true value of an iterable.
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2025-03-25 |
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pip-tools
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public |
pip-tools keeps your pinned dependencies fresh.
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2025-03-25 |
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pm
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public |
Command-line utility to manage development projects
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2025-03-25 |
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pylint-quotes
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public |
Quote consistency checker for PyLint..
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2025-03-25 |
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sklearn-pandas
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public |
Pandas integration with sklearn
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2025-03-25 |
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webtest-aiohttp
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public |
webtest-aiohttp provides integration of WebTest with aiohttp.web applications
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2025-03-25 |
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webapp2
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public |
Taking Google App Engine's webapp to the next level!
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2025-03-25 |
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yellowbrick
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public |
A suite of visual analysis and diagnostic tools for machine learning.
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2025-03-25 |
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r-korpus
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public |
A set of tools to analyze texts. Includes, amongst others, functions for automatic language detection, hyphenation, several indices of lexical diversity (e.g., type token ratio, HD-D/vocd-D, MTLD) and readability (e.g., Flesch, SMOG, LIX, Dale-Chall). Basic import functions for language corpora are also provided, to enable frequency analyses (supports Celex and Leipzig Corpora Collection file formats) and measures like tf-idf. Note: For full functionality a local installation of TreeTagger is recommended. It is also recommended to not load this package directly, but by loading one of the available language support packages from the 'l10n' repository <https://undocumeantit.github.io/repos/l10n>. 'koRpus' also includes a plugin for the R GUI and IDE RKWard, providing graphical dialogs for its basic features. The respective R package 'rkward' cannot be installed directly from a repository, as it is a part of RKWard. To make full use of this feature, please install RKWard from <https://rkward.kde.org> (plugins are detected automatically). Due to some restrictions on CRAN, the full package sources are only available from the project homepage. To ask for help, report bugs, request features, or discuss the development of the package, please subscribe to the koRpus-dev mailing list (<http://korpusml.reaktanz.de>).
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2025-03-25 |
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r-korpus.lang.en
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public |
Adds support for the English language to the 'koRpus' package. To ask for help, report bugs, suggest feature improvements, or discuss the global development of the package, please consider subscribing to the koRpus-dev mailing list (<http://korpusml.reaktanz.de>).
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2025-03-25 |
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r-pandocfilters
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public |
The document converter 'pandoc' <http://pandoc.org/> is widely used in the R community. One feature of 'pandoc' is that it can produce and consume JSON-formatted abstract syntax trees (AST). This allows to transform a given source document into JSON-formatted AST, alter it by so called filters and pass the altered JSON-formatted AST back to 'pandoc'. This package provides functions which allow to write such filters in native R code. Although this package is inspired by the Python package 'pandocfilters' <https://github.com/jgm/pandocfilters/>, it provides additional convenience functions which make it simple to use the 'pandocfilters' package as a report generator. Since 'pandocfilters' inherits most of it's functionality from 'pandoc' it can create documents in many formats (for more information see <http://pandoc.org/>) but is also bound to the same limitations as 'pandoc'.
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2025-03-25 |
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r-qcc
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public |
Shewhart quality control charts for continuous, attribute and count data. Cusum and EWMA charts. Operating characteristic curves. Process capability analysis. Pareto chart and cause-and-effect chart. Multivariate control charts.
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2025-03-25 |
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r-robfilter
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public |
A set of functions to filter time series based on concepts from robust statistics.
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2025-03-25 |
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r-sdcmicro
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public |
Data from statistical agencies and other institutions are mostly confidential. This package can be used for the generation of anonymized (micro)data, i.e. for the creation of public- and scientific-use files. In addition, various risk estimation methods are included. Note that the package includes a graphical user interface that allows to use various methods of this package.
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2025-03-25 |
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r-sylly.en
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public |
Adds support for the English language to the 'sylly' package. Due to some restrictions on CRAN, the full package sources are only available from the project homepage. To ask for help, report bugs, suggest feature improvements, or discuss the global development of the package, please consider subscribing to the koRpus-dev mailing list (<http://korpusml.reaktanz.de>).
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2025-03-25 |
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r-sylly
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public |
Provides the hyphenation algorithm used for 'TeX'/'LaTeX' and similar software, as proposed by Liang (1983, <https://tug.org/docs/liang/>). Mainly contains the function hyphen() to be used for hyphenation/syllable counting of text objects. It was originally developed for and part of the 'koRpus' package, but later released as a separate package so it's lighter to have this particular functionality available for other packages. Support for various languages needs be added on-the-fly or by plugin packages (<https://undocumeantit.github.io/repos>); this package does not include any language specific data. Due to some restrictions on CRAN, the full package sources are only available from the project homepage. To ask for help, report bugs, request features, or discuss the development of the package, please subscribe to the koRpus-dev mailing list (<http://korpusml.reaktanz.de>).
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2025-03-25 |
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r-cleanehr
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public |
An electronic health care record (EHR) data cleaning and processing platform. It focus on heterogeneous high resolution longitudinal data. It works with Critical Care Health Informatics Collaborative (CCHIC) dataset. It is created to address various data reliability and accessibility problems of EHRs as such.
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2025-03-25 |
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r-amelia
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public |
A tool that "multiply imputes" missing data in a single cross-section (such as a survey), from a time series (like variables collected for each year in a country), or from a time-series-cross-sectional data set (such as collected by years for each of several countries). Amelia II implements our bootstrapping-based algorithm that gives essentially the same answers as the standard IP or EMis approaches, is usually considerably faster than existing approaches and can handle many more variables. Unlike Amelia I and other statistically rigorous imputation software, it virtually never crashes (but please let us know if you find to the contrary!). The program also generalizes existing approaches by allowing for trends in time series across observations within a cross-sectional unit, as well as priors that allow experts to incorporate beliefs they have about the values of missing cells in their data. Amelia II also includes useful diagnostics of the fit of multiple imputation models. The program works from the R command line or via a graphical user interface that does not require users to know R.
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2025-03-25 |
