R-universe search: crf

Showing 7 of total 7 results (show query)

bnosac

crfsuite:Conditional Random Fields for Labelling Sequential Data in Natural Language Processing

Wraps the 'CRFsuite' library <https://github.com/chokkan/crfsuite> allowing users to fit a Conditional Random Field model and to apply it on existing data. The focus of the implementation is in the area of Natural Language Processing where this R package allows you to easily build and apply models for named entity recognition, text chunking, part of speech tagging, intent recognition or classification of any category you have in mind. Next to training, a small web application is included in the package to allow you to easily construct training data.

Maintained by Jan Wijffels. Last updated 1 years ago.

chunking conditional-random-fields crf crfsuite data-science intent-classification natural-language-processing ner nlp cpp

25.3 match 63 stars 6.34 score 35 scripts

eagerai

tfaddons:Interface to 'TensorFlow SIG Addons'

'TensorFlow SIG Addons' <https://www.tensorflow.org/addons> is a repository of community contributions that conform to well-established API patterns, but implement new functionality not available in core 'TensorFlow'. 'TensorFlow' natively supports a large number of operators, layers, metrics, losses, optimizers, and more. However, in a fast moving field like Machine Learning, there are many interesting new developments that cannot be integrated into core 'TensorFlow' (because their broad applicability is not yet clear, or it is mostly used by a smaller subset of the community).

Maintained by Turgut Abdullayev. Last updated 3 years ago.

deep-learning keras neural-networks tensorflow tensorflow-addons tfa

20.4 match 20 stars 5.20 score 16 scripts

nicholasjclark

MRFcov:Markov Random Fields with Additional Covariates

Approximate node interaction parameters of Markov Random Fields graphical networks. Models can incorporate additional covariates, allowing users to estimate how interactions between nodes in the graph are predicted to change across covariate gradients. The general methods implemented in this package are described in Clark et al. (2018) <doi:10.1002/ecy.2221>.

Maintained by Nicholas J Clark. Last updated 12 months ago.

conditional-random-fields graphical-models machine-learning markov-random-field multivariate-analysis multivariate-statistics network-analysis networks

4.3 match 24 stars 6.03 score 30 scripts

pharmaverse

sdtmchecks:Data Quality Checks for Study Data Tabulation Model (SDTM) Datasets

A series of checks to identify common issues in Study Data Tabulation Model (SDTM) datasets. These checks are intended to be generalizable, actionable, and meaningful for analysis.

Maintained by Will Harris. Last updated 3 months ago.

3.2 match 21 stars 7.66 score 15 scripts

danchaltiel

EDCimport:Import Data from EDC Software

A convenient toolbox to import data exported from Electronic Data Capture (EDC) software 'TrialMaster'.

Maintained by Dan Chaltiel. Last updated 5 days ago.

1.8 match 6.01 score 12 scripts

pharmaverse

admiralonco:Oncology Extension Package for ADaM in 'R' Asset Library

Programming oncology specific Clinical Data Interchange Standards Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in 'R'. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team (2021), <https://www.cdisc.org/standards/foundational/adam>). The package is an extension package of the 'admiral' package.

Maintained by Stefan Bundfuss. Last updated 2 months ago.

1.1 match 32 stars 8.66 score 30 scripts

liyabera

EngrEcon:Engineering Economics Analysis for Engineering Projects Cost Analysis

Computing economic analysis in civil infrastructure and ecosystem restoration projects is a typical activity. This package contains Standard cost engineering and engineering economics methods that are applied to convert between present, future, and annualized costs. Newnan D. (2020) <ISBN 9780190931919> “Engineering Economic Analysis”.

Maintained by Liya Abera. Last updated 12 months ago.

1.6 match 1.70 score 1 scripts