reticulate - Interface to 'Python'

Interface to 'Python' modules, classes, and functions. When calling into 'Python', R data types are automatically converted to their equivalent 'Python' types. When values are returned from 'Python' to R they are converted back to R types. Compatible with all versions of 'Python' >= 2.7.

Last updated 29 days ago

1.6k stars 12.25 score 11 dependencies 372 dependents

keras3 - R Interface to 'Keras'

Interface to 'Keras' <https://keras.io>, a high-level neural networks API. 'Keras' was developed with a focus on enabling fast experimentation, supports both convolution based networks and recurrent networks (as well as combinations of the two), and runs seamlessly on both CPU and GPU devices.

Last updated 10 days ago

830 stars 8.75 score 33 dependencies 1 dependents

tfruns - Training Run Tools for 'TensorFlow'

Create and manage unique directories for each 'TensorFlow' training run. Provides a unique, time stamped directory for each run along with functions to retrieve the directory of the latest run or latest several runs.

Last updated 3 months ago

34 stars 6.15 score 23 dependencies 77 dependents

tfautograph - Autograph R for 'Tensorflow'

Translate R control flow expressions into 'Tensorflow' graphs.

Last updated 1 years ago

autographtensorflow

18 stars 5.88 score 13 dependencies 76 dependents

keras - R Interface to 'Keras'

Interface to 'Keras' <https://keras.io>, a high-level neural networks 'API'. 'Keras' was developed with a focus on enabling fast experimentation, supports both convolution based networks and recurrent networks (as well as combinations of the two), and runs seamlessly on both 'CPU' and 'GPU' devices.

Last updated 3 months ago

5.04 score 32 dependencies 57 dependents

tfdatasets - Interface to 'TensorFlow' Datasets

Interface to 'TensorFlow' Datasets, a high-level library for building complex input pipelines from simple, re-usable pieces. See <https://www.tensorflow.org/guide> for additional details.

Last updated 10 days ago

34 stars 3.21 score 31 dependencies 4 dependents

Rapp - Easily Build Command Line Applications

Run simple 'R' scripts as command line applications, with automatic robust and convenient support for command line arguments. This package provides 'Rapp', an alternative 'R' front-end similar to 'Rscript', that enables this.

Last updated 12 days ago

37 stars 2.80 score 1 dependencies

guildai - Track Machine Learning Experiments

'Guild AI' is an open-source tool for managing machine learning experiments. It's for scientists, engineers, and researchers who want to run scripts, compare results, measure progress, and automate machine learning workflows. 'Guild AI' is a light weight, external tool that runs locally. It works with any framework, doesn't require any changes to your code, or access to any web services. Users can easily record experiment metadata, track model changes, manage experiment artifacts, tune hyperparameters, and share results. 'Guild AI' combines features from 'Git', 'SQLite', and 'Make' to provide a lab notebook for machine learning.

Last updated 12 months ago

deep-learningkerasmachine-learning

18 stars 2.06 score 34 dependencies

listarrays - A Toolbox for Working with R Arrays in a Functional Programming Style

A toolbox for R arrays. Flexibly split, bind, reshape, modify, subset and name arrays.

Last updated 3 months ago

14 stars 1.83 score 0 dependencies

envir - Manage R Environments Better

Provides a small set of functions for managing R environments, with defaults designed to encourage usage patterns that scale well to larger code bases. It provides: import_from(), a flexible way to assign bindings that defaults to the current environment; include(), a vectorized alternative to base::source() that also default to the current environment; and attach_eval() and attach_source(), a way to evaluate expressions in attached environments. Together, these (and other) functions pair to provide a robust alternative to base::library() and base::source().

Last updated 3 months ago

13 stars 1.78 score 0 dependencies

yasp - String Functions for Compact R Code

A collection of string functions designed for writing compact and expressive R code. 'yasp' (Yet Another String Package) is simple, fast, dependency-free, and written in pure R. The package provides: a coherent set of abbreviations for paste() from package 'base' with a variety of defaults, such as p() for "paste" and pcc() for "paste and collapse with commas"; wrap(), bracket(), and others for wrapping a string in flanking characters; unwrap() for removing pairs of characters (at any position in a string); and sentence() for cleaning whitespace around punctuation and capitalization appropriate for prose sentences.

Last updated 5 years ago

8 stars 1.32 score 0 dependencies

commafree - Call Functions Without Commas Between Arguments

Provides the "comma-free call" operator: '%(%'. Use it to call a function without commas between the arguments. Just replace the '(' with '%(%' in a function call, supply your arguments as standard R expressions enclosed by '{ }', and be free of commas (for that call).

Last updated 3 months ago

5 stars 1.28 score 0 dependencies