R Package Scholar
17,003

tensorflow: R Interface to 'TensorFlow'

daniel falbel  jj allaire  rstudio  yuan tang  nick golding  tomasz kalinowski  google  dirk eddelbuettel   View description and downloadsView dependenciesGitHub project

2017 Published
2.16.0 Version
0 Citations
8 Authors
Referenced by ⇅ Year
downscaledl: Downscale of RS Images using Deep Learning (Version 1.0)

2019
sgmcmc: Stochastic Gradient Markov Chain Monte Carlo (Version 0.2.5)

2017
SPOTMisc: Misc Extensions for the "SPOT" Package (Version 1.19.52)

2021
ARMALSTM: Fitting of Hybrid ARMA-LSTM Models (Version 0.1.0)

2024
DCLEAR: Distance Based Cell Lineage Reconstruction (Version 1.0.13)

2021
EEMDlstm: EEMD Based LSTM Model for Time Series Forecasting (Version 0.1.0)

2022
FuncNN: Functional Neural Networks (Version 1.0)

2020
GPUmatrix: Basic Linear Algebra with GPU (Version 1.0.2)

2023
LDNN: Longitudinal Data Neural Network (Version 1.10)

2020
MBMethPred: Medulloblastoma Subgroups Prediction (Version 0.1.4.2)

2022
ML2Pvae: Variational Autoencoder Models for IRT Parameter Estimation (Version 1.0.0.1)

2020
OptiSembleForecasting: Optimization Based Ensemble Forecasting Using MCS Algorithm (Version 0.1.0)

2022
SpatialDDLS: Deconvolution of Spatial Transcriptomics Data Based on Neural Networks (Version 1.0.2)

2023
TSLSTM: Long Short Term Memory (LSTM) Model for Time Series Forecasting (Version 0.1.0)

2022
TSLSTMplus: Long-Short Term Memory for Time-Series Forecasting, Enhanced (Version 1.0.4)

2023
TSdeeplearning: Deep Learning Model for Time Series Forecasting (Version 0.1.0)

2022
animl: A Collection of ML Tools for Conservation Research (Version 1.1.0)

2022
bamlss: Bayesian Additive Models for Location, Scale, and Shape (and Beyond) (Version 1.2-3)

2017
bundle: Serialize Model Objects with a Consistent Interface (Version 0.1.1)

2022
cloudml: Interface to the Google Cloud Machine Learning Platform (Version 0.6.1)

2018
codacore: Learning Sparse Log-Ratios for Compositional Data (Version 0.0.4)

2022
codez: Seq2Seq Encoder-Decoder Model for Time-Feature Analysis Based on Tensorflow (Version 1.0.0)

2022
decompDL: Decomposition Based Deep Learning Models for Time Series Forecasting (Version 0.1.0)

2023
deepredeff: Deep Learning Prediction of Effectors (Version 0.1.1)

2020
deepregression: Fitting Deep Distributional Regression (Version 1.0.0)

2021
deeptrafo: Fitting Deep Conditional Transformation Models (Version 0.1-1)

2022
digitalDLSorteR: Deconvolution of Bulk RNA-Seq Data Based on Deep Learning (Version 1.0.1)

2021
dimRed: A Framework for Dimensionality Reduction (Version 0.2.6)

2017
embed: Extra Recipes for Encoding Predictors (Version 1.1.4)

2018
ganDataModel: Build a Metric Subspaces Data Model for a Data Source (Version 1.1.6)

2022
ganGenerativeData: Generate Generative Data for a Data Source (Version 1.5.7)

2021
gnn: Generative Neural Networks (Version 0.0-4)

2019
greta.dynamics: Modelling Structured Dynamical Systems in 'greta' (Version 0.2.0)

2022
greta.gp: Gaussian Process Modelling in 'greta' (Version 0.2.1)

2022
greta: Simple and Scalable Statistical Modelling in R (Version 0.4.5)

2017
iForecast: Machine Learning Time Series Forecasting (Version 1.0.7)

2020
iSubGen: Integrative Subtype Generation (Version 1.0.1)

2021
innsight: Get the Insights of Your Neural Network (Version 0.3.0)

2021
janus: Optimized Recommending System Based on 'tensorflow' (Version 1.0.0)

2022
keras: R Interface to 'Keras' (Version 2.13.0)

2017
keras3: R Interface to 'Keras' (Version 0.1.0)

2024
kerastuneR: Interface to 'Keras Tuner' (Version 0.1.0.7)

2020
mnda: Multiplex Network Differential Analysis (MNDA) (Version 1.0.9)

2023
neuralGAM: Interpretable Neural Network Based on Generalized Additive Models (Version 1.1.0)

2023
nn2poly: Neural Network Weights Transformation into Polynomial Coefficients (Version 0.1.1)

2024
parsnip: A Common API to Modeling and Analysis Functions (Version 1.2.1)

2018
processpredictR: Process Prediction (Version 0.1.0)

2023
rTLsDeep: Post-Hurricane Damage Severity Classification from TLS and AI (Version 0.0.5)

2023
reservr: Fit Distributions and Neural Networks to Censored and Truncated Data (Version 0.0.2)

2022
runMCMCbtadjust: Runs Monte Carlo Markov Chain - With Either 'JAGS', 'nimble' or 'greta' - While Adjusting Burn-in and Thinning Parameters (Version 1.0.5)

2023
scaffolder: Scaffolding Interfaces to Packages in Other Programming Languages (Version 0.0.1)

2020
sentiment.ai: Simple Sentiment Analysis Using Deep Learning (Version 0.1.1)

2022
seriation: Infrastructure for Ordering Objects Using Seriation (Version 1.5.4)

2007
snap: Simple Neural Application (Version 1.1.0)

2021
tfNeuralODE: Create Neural Ordinary Differential Equations with 'tensorflow' (Version 0.1.0)

2023
tfaddons: Interface to 'TensorFlow SIG Addons' (Version 0.10.0)

2020
tfautograph: Autograph R for 'Tensorflow' (Version 0.3.2)

2019
tfdatasets: Interface to 'TensorFlow' Datasets (Version 2.9.0)

2018
tfdeploy: Deploy 'TensorFlow' Models (Version 0.6.1)

2019
tfestimators: Interface to 'TensorFlow' Estimators (Version 1.9.2)

2017
tfhub: Interface to 'TensorFlow' Hub (Version 0.8.1)

2019
tfio: Interface to 'TensorFlow IO' (Version 0.4.1)

2019
tfevents: Write Events for 'TensorBoard' (Version 0.0.2)

2023
tfprobability: Interface to 'TensorFlow Probability' (Version 0.15.1)

2019
tsLSTMx: Predict Time Series Using LSTM Model Including Exogenous Variable to Denote Zero Values (Version 0.1.0)

2024
vetiver: Version, Share, Deploy, and Monitor Models (Version 0.2.5)

2021

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