Showing 10 of total 10 results (show query)
rstudio
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.
Maintained by Tomasz Kalinowski. Last updated 4 days ago.
1.7k stars 21.02 score 18k scripts 434 dependentsrstudio
tensorflow:R Interface to 'TensorFlow'
Interface to 'TensorFlow' <https://www.tensorflow.org/>, an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more 'CPUs' or 'GPUs' in a desktop, server, or mobile device with a single 'API'. 'TensorFlow' was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
Maintained by Tomasz Kalinowski. Last updated 3 days ago.
1.3k stars 15.47 score 3.2k scripts 75 dependentsrstudio
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.
Maintained by Tomasz Kalinowski. Last updated 9 days ago.
845 stars 13.63 score 264 scripts 2 dependents
t-kalinowski
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.
Maintained by Tomasz Kalinowski. Last updated 11 months ago.
10.93 score 10k scripts 55 dependentsrstudio
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.
Maintained by Tomasz Kalinowski. Last updated 18 days ago.
34 stars 9.32 score 656 scripts 3 dependents
f0nzie
rTorch:R Bindings to 'PyTorch'
'R' implementation and interface of the Machine Learning platform 'PyTorch' <https://pytorch.org/> developed in 'Python'. It requires a 'conda' environment with 'torch' and 'torchvision' Python packages to provide 'PyTorch' functions, methods and classes. The key object in 'PyTorch' is the tensor which is in essence a multidimensional array. These tensors are fairly flexible in performing calculations in CPUs as well as 'GPUs' to accelerate tensor operations.
Maintained by Alfonso R. Reyes. Last updated 3 years ago.
6 stars 5.97 score 157 scripts
cran
sets:Sets, Generalized Sets, Customizable Sets and Intervals
Data structures and basic operations for ordinary sets, generalizations such as fuzzy sets, multisets, and fuzzy multisets, customizable sets, and intervals.
Maintained by David Meyer. Last updated 1 years ago.
1 stars 5.53 score 109 dependents
dipterix
rpyANTs:An Alternative Advanced Normalization Tools ('ANTs')
Provides portable access from 'R' to biomedical image processing toolbox 'ANTs' by Avants et al. (2009) <doi:10.54294/uvnhin> via seamless integration with the 'Python' implementation 'ANTsPy'. Allows biomedical images to be processed in 'Python' and analyzed in 'R', and vice versa via shared memory. See 'citation("rpyANTs")' for more reference information.
Maintained by Zhengjia Wang. Last updated 2 days ago.
antsbrainieegmrineuroimagingnormalizationpythonregistration
1 stars 4.48 score 8 scripts 2 dependentsdipterix
rpymat:Easy to Configure an Isolated 'Python' Environment
Aims to create a single isolated 'Miniconda' and 'Python' environment for reproducible pipeline scripts. The package provides utilities to run system command within the 'conda' environment, making it easy to install, launch, manage, and stop 'Jupyter-lab'.
Maintained by Zhengjia Wang. Last updated 2 months ago.
1 stars 3.78 score 9 scripts 4 dependentsdipterix
rnwb:'Neurodata' Without Borders in R
Supports 'Neurodata' Without Borders ('NWB') format in R.
Maintained by Zhengjia Wang. Last updated 2 years ago.
1.70 score 4 scripts