Showing 7 of total 7 results (show query)
tlverse
sl3:Pipelines for Machine Learning and Super Learning
A modern implementation of the Super Learner prediction algorithm, coupled with a general purpose framework for composing arbitrary pipelines for machine learning tasks.
Maintained by Jeremy Coyle. Last updated 5 months ago.
data-scienceensemble-learningensemble-modelmachine-learningmodel-selectionregressionstackingstatistics
100 stars 9.94 score 748 scripts 7 dependents
eagerai
fastai:Interface to 'fastai'
The 'fastai' <https://docs.fast.ai/index.html> library simplifies training fast and accurate neural networks using modern best practices. It is based on research in to deep learning best practices undertaken at 'fast.ai', including 'out of the box' support for vision, text, tabular, audio, time series, and collaborative filtering models.
Maintained by Turgut Abdullayev. Last updated 12 months ago.
audiocollaborative-filteringdarknetdarknet-image-classificationfastaimedicalobject-detectiontabulartextvision
118 stars 9.40 score 76 scripts
ludvigolsen
rearrr:Rearranging Data
Arrange data by a set of methods. Use rearrangers to reorder data points and mutators to change their values. From basic utilities, to centering the greatest value, to swirling in 3-dimensional space, 'rearrr' enables creativity when plotting and experimenting with data.
Maintained by Ludvig Renbo Olsen. Last updated 28 days ago.
arrangeclusterexpandforminggenerateggplot2orderplotting-in-rrollrotateshapingswirltransformations
24 stars 7.26 score 128 scripts 8 dependents
rpahl
pipeflow:Lightweight, General-Purpose Data Analysis Pipelines
A lightweight yet powerful framework for building robust data analysis pipelines. With 'pipeflow', you initialize a pipeline with your dataset and construct workflows step by step by adding R functions. You can modify, remove, or insert steps and parameters at any stage, while 'pipeflow' ensures the pipeline's integrity. Overall, this package offers a beginner-friendly framework that simplifies and streamlines the development of data analysis pipelines by making them modular, intuitive, and adaptable.
Maintained by Roman Pahl. Last updated 3 months ago.
pipeline-toolsreproducible-research
13 stars 6.35 score 19 scripts
kinto-b
makepipe:Pipeline Tools Inspired by 'GNU Make'
A suite of tools for transforming an existing workflow into a self-documenting pipeline with very minimal upfront costs. Segments of the pipeline are specified in much the same way a 'Make' rule is, by declaring an executable recipe (which might be an R script), along with the corresponding targets and dependencies. When the entire pipeline is run through, only those recipes that need to be executed will be. Meanwhile, execution metadata is captured behind the scenes for later inspection.
Maintained by Kinto Behr. Last updated 3 months ago.
33 stars 5.60 score 12 scripts
mwhalen18
sewage:A Light-Weight Data Pipelining Tool
Provides a simple interface to developing complex data pipelines which can be executed in a single call. 'sewage' makes it easy to test, debug, and share data pipelines through it's interface and visualizations.
Maintained by Matthew Whalen. Last updated 2 years ago.
5 stars 3.40 score 3 scripts
dyfanjones
sagemaker.workflow:sagemaker pipeline and workflows
`sagemaker` pipeline and workflows.
Maintained by Dyfan Jones. Last updated 3 years ago.
2.18 score 1 dependents