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 7 days ago
20.85 score 1.7k stars 407 packages 12k scripts 315k downloadskeras3 - 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 22 days ago
13.50 score 838 stars 2 packages 216 scripts 4.0k downloadstfruns - 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 7 months ago
12.27 score 34 stars 78 packages 312 scripts 16k downloadskeras - 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 7 months ago
10.93 score 57 packages 9.8k scripts 23k downloadstfdatasets - 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 4 months ago
9.65 score 34 stars 4 packages 660 scripts 2.2k downloadstfautograph - Autograph R for 'Tensorflow'
Translate R control flow expressions into 'Tensorflow' graphs.
Last updated 2 years ago
autographtensorflow
8.59 score 18 stars 77 packages 145 scripts 13k downloadsRapp - 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 2 months ago
5.06 score 46 stars 2 scripts 199 downloadsguildai - 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 1 years ago
deep-learningkerasmachine-learning
4.64 score 19 stars 23 scripts 176 downloadslistarrays - 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 7 months ago
4.49 score 14 stars 22 scripts 594 downloadsenvir - 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 7 months ago
4.20 score 15 stars 21 scripts 688 downloadscommafree - 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 7 months ago
3.70 score 5 stars 3 scripts 591 downloads