keras: R Interface to 'Keras'

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

Tomasz Kalinowski • Daniel Falbel • JJ Allaire • François Chollet • RStudio • Google • Yuan Tang • Wouter Van Der Bijl • Martin Studer • Sigrid Keydana • View description and downloads View dependencies GitHub project

2017 Published

2.15.0 Version

0 Citations

10 Authors

Referenced by ⇅	Year
downscaledl: Downscale of RS Images using Deep Learning (Version 1.0)	2019
modelplotr: Plots to Evaluate the Business Performance of Predictive Models (Version 1.1.0)	2019
ruta: Implementation of Unsupervised Neural Architectures (Version 1.2.0)	2018
SPOTMisc: Misc Extensions for the "SPOT" Package (Version 1.19.52)	2021
utr.annotation: Annotate Variants in the Untranslated Regions (Version 1.0.4)	2021
rsleep: Analysis of Sleep Data (Version 1.0.12)	2019
OptiSembleForecasting: Optimization Based Ensemble Forecasting Using MCS Algorithm (Version 0.1.0)	2022
digitalDLSorteR: Deconvolution of Bulk RNA-Seq Data Based on Deep Learning (Version 1.1.0)	2021
MantaID: A Machine-Learning Based Tool to Automate the Identification of Biological Database IDs (Version 1.0.4)	2022
embed: Extra Recipes for Encoding Predictors (Version 1.1.4)	2018
ARMALSTM: Fitting of Hybrid ARMA-LSTM Models (Version 0.1.0)	2024
EEMDlstm: EEMD Based LSTM Model for Time Series Forecasting (Version 0.1.0)	2022
FuncNN: Functional Neural Networks (Version 1.0)	2020
LDNN: Longitudinal Data Neural Network (Version 1.10)	2020
LilRhino: For Implementation of Feed Reduction, Learning Examples, NLP and Code Management (Version 1.2.2)	2019
MBMethPred: Medulloblastoma Subgroups Prediction (Version 0.1.4.2)	2022
ML2Pvae: Variational Autoencoder Models for IRT Parameter Estimation (Version 1.0.0.1)	2020
PLEXI: Multiplex Network Analysis (Version 1.0.0)	2023
PhysicalActivity: Process Accelerometer Data for Physical Activity Measurement (Version 0.2-4)	2010
ProcData: Process Data Analysis (Version 0.3.2)	2020
SPORTSCausal: Spillover Time Series Causal Inference (Version 1.0)	2021
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 1.0.5)	2023
TSPred: Functions for Benchmarking Time Series Prediction (Version 5.1)	2015
TSdeeplearning: Deep Learning Model for Time Series Forecasting (Version 0.1.0)	2022
TraceAssist: Nonparametric Trace Regression via Sign Series Representation (Version 0.1.0)	2021
animl: A Collection of ML Tools for Conservation Research (Version 1.1.0)	2022
autokeras: R Interface to 'AutoKeras' (Version 1.0.12)	2020
bamlss: Bayesian Additive Models for Location, Scale, and Shape (and Beyond) (Version 1.2-5)	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
condvis2: Interactive Conditional Visualization for Supervised and Unsupervised Models in Shiny (Version 0.1.2)	2019
counterfactuals: Counterfactual Explanations (Version 0.1.6)	2023
criticality: Modeling Fissile Material Operations in Nuclear Facilities (Version 0.9.3)	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
dimRed: A Framework for Dimensionality Reduction (Version 0.2.6)	2017
drake: A Pipeline Toolkit for Reproducible Computation at Scale (Version 7.13.10)	2017
flowml: A Backend for a 'nextflow' Pipeline that Performs Machine-Learning-Based Modeling of Biomedical Data (Version 0.1.3)	2023
forecasteR: Time Series Forecast System (Version 2.0.2)	2022
gnn: Generative Neural Networks (Version 0.0-4)	2019
iSubGen: Integrative Subtype Generation (Version 1.0.1)	2021
imageseg: Deep Learning Models for Image Segmentation (Version 0.5.0)	2021
iml: Interpretable Machine Learning (Version 0.11.3)	2018
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
lime: Local Interpretable Model-Agnostic Explanations (Version 0.5.3)	2017
mlflow: Interface to 'MLflow' (Version 2.16.2)	2018
mnda: Multiplex Network Differential Analysis (MNDA) (Version 1.0.9)	2023
mrbin: Metabolomics Data Analysis Functions (Version 1.7.5)	2020
neuralGAM: Interpretable Neural Network Based on Generalized Additive Models (Version 1.1.1)	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
pdp: Partial Dependence Plots (Version 0.8.1)	2016
processpredictR: Process Prediction (Version 0.1.0)	2023
qeML: Quick and Easy Machine Learning Tools (Version 1.1)	2023
rTLsDeep: Post-Hurricane Damage Severity Classification from TLS and AI (Version 0.0.5)	2023
regtools: Regression and Classification Tools (Version 1.7.0)	2016
roseRF: ROSE Random Forests for Robust Semiparametric Efficient Estimation (Version 0.1.0)	2024
seriation: Infrastructure for Ordering Objects Using Seriation (Version 1.5.6)	2007
snap: Simple Neural Application (Version 1.1.0)	2021
soundClass: Sound Classification Using Convolutional Neural Networks (Version 0.0.9.2)	2022
survivalmodels: Models for Survival Analysis (Version 0.1.191)	2020
targets: Dynamic Function-Oriented 'Make'-Like Declarative Pipelines (Version 1.8.0)	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
tfhub: Interface to 'TensorFlow' Hub (Version 0.8.1)	2019
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
vivid: Variable Importance and Variable Interaction Displays (Version 0.2.9)	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.