torch: Tensors and Neural Networks with 'GPU' Acceleration

Canonical link: https://rscholar.com/pkg/torch

Daniel Falbel • Javier Luraschi • Dmitriy Selivanov • Athos Damiani • Christophe Regouby • Krzysztof Joachimiak • Hamada S. Badr • Sebastian Fischer • RStudio • View description and downloads View dependencies GitHub project

2020 Published

0.13.0 Version

0 Citations

9 Authors

Referenced by ⇅	Year
SPQR: Semi-Parametric Quantile Regression (Version 0.1.0)	2022
BKTR: Bayesian Kernelized Tensor Regression (Version 0.2.0)	2023
GPUmatrix: Basic Linear Algebra with GPU (Version 1.0.2)	2023
PLNmodels: Poisson Lognormal Models (Version 1.2.0)	2019
RGAN: Generative Adversarial Nets (GAN) in R (Version 0.1.1)	2022
SEMdeep: Structural Equation Modeling with Deep Neural Network and Machine Learning (Version 0.1.0)	2024
brulee: High-Level Modeling Functions with 'torch' (Version 0.3.0)	2021
bundle: Serialize Model Objects with a Consistent Interface (Version 0.1.2)	2022
causalOT: Optimal Transport Weights for Causal Inference (Version 1.0.2)	2022
circlus: Clustering and Simulation of Spherical Cauchy and PKBD Models (Version 0.0.1)	2024
cito: Building and Training Neural Networks (Version 1.1)	2022
crumble: Flexible and General Mediation Analysis Using Riesz Representers (Version 0.1.2)	2024
deepregression: Fitting Deep Distributional Regression (Version 2.2.0)	2021
engression: Engression Modelling (Version 0.1.4)	2023
geodl: Geospatial Semantic Segmentation with Torch and Terra (Version 0.2.0)	2024
glmnetr: Nested Cross Validation for the Relaxed Lasso and Other Machine Learning Models (Version 0.5-4)	2022
innsight: Get the Insights of Your Neural Network (Version 0.3.1)	2021
lambdaTS: Variational Seq2Seq Model with Lambda Transformer for Time Series Analysis (Version 1.1)	2021
luz: Higher Level 'API' for 'torch' (Version 0.4.0)	2021
madgrad: 'MADGRAD' Method for Stochastic Optimization (Version 0.1.0)	2021
mlr3torch: Deep Learning with 'mlr3' (Version 0.1.2)	2024
nFunNN: Nonlinear Functional Principal Component Analysis using Neural Networks (Version 1.0)	2024
nn2poly: Neural Network Weights Transformation into Polynomial Coefficients (Version 0.1.2)	2024
proteus: Multiform Seq2Seq Model for Time-Feature Analysis (Version 1.1.4)	2021
safetensors: Safetensors File Format (Version 0.1.2)	2023
scDHA: Single-Cell Decomposition using Hierarchical Autoencoder (Version 1.2.2)	2021
sits: Satellite Image Time Series Analysis for Earth Observation Data Cubes (Version 1.5.1)	2022
spinner: An Implementation of Graph Net Architecture Based on 'torch' (Version 1.1.0)	2023
tabnet: Fit 'TabNet' Models for Classification and Regression (Version 0.6.0)	2021
targets: Dynamic Function-Oriented 'Make'-Like Declarative Pipelines (Version 1.9.1)	2021
topicmodels.etm: Topic Modelling in Embedding Spaces (Version 0.1.0)	2021
torchaudio: R Interface to 'pytorch”s 'torchaudio' (Version 0.3.1)	2021
torchdatasets: Ready to Use Extra Datasets for Torch (Version 0.3.1)	2021
torchopt: Advanced Optimizers for Torch (Version 0.1.4)	2022
torchvision: Models, Datasets and Transformations for Images (Version 0.6.0)	2020
torchvisionlib: Additional Operators for Image Models (Version 0.5.0)	2022
vetiver: Version, Share, Deploy, and Monitor Models (Version 0.2.5)	2021

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.