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 11 days ago
1.7k stars 20.77 score 11 dependencies 388 dependentskeras3 - 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 29 days ago
831 stars 12.79 score 33 dependencies 1 dependentstfruns - 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 6 months ago
34 stars 12.19 score 23 dependencies 77 dependentskeras - 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 6 months ago
10.87 score 32 dependencies 56 dependentstfdatasets - 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 3 months ago
34 stars 9.64 score 31 dependencies 4 dependentstfautograph - Autograph R for 'Tensorflow'
Translate R control flow expressions into 'Tensorflow' graphs.
Last updated 1 years ago
autographtensorflow
18 stars 8.54 score 13 dependencies 76 dependentsRapp - 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 10 days ago
45 stars 5.05 score 1 dependenciesguildai - 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
18 stars 4.62 score 34 dependencieslistarrays - 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 6 months ago
14 stars 4.49 score 0 dependenciescommafree - 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 6 months ago
5 stars 3.70 score 0 dependencies