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
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
MantaID: A Machine-Learning Based Tool to Automate the Identification of Biological Database IDs (Version 1.0.4)	2022
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 1.0.3)	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 0.1.2)	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 2.2.0)	2021
deeptrafo: Fitting Deep Conditional Transformation Models (Version 1.0-0)	2022
dimRed: A Framework for Dimensionality Reduction (Version 0.2.6)	2017
drake: A Pipeline Toolkit for Reproducible Computation at Scale (Version 7.13.11)	2017
embed: Extra Recipes for Encoding Predictors (Version 1.1.4)	2018
fastml: Fast Machine Learning Model Training and Evaluation (Version 0.3.0)	2024
flowml: A Backend for a 'nextflow' Pipeline that Performs Machine-Learning-Based Modeling of Biomedical Data (Version 0.1.3)	2023
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 0.3.1)	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 2.19.0)	2018
mnda: Multiplex Network Differential Analysis (MNDA) (Version 1.0.9)	2023
mrbin: Metabolomics Data Analysis Functions (Version 1.8.0)	2020
neuralGAM: Interpretable Neural Network Based on Generalized Additive Models (Version 1.1.1)	2023
nn2poly: Neural Network Weights Transformation into Polynomial Coefficients (Version 0.1.2)	2024
parsnip: A Common API to Modeling and Analysis Functions (Version 1.2.1)	2018
pdp: Partial Dependence Plots (Version 0.8.2)	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 1.5.7)	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 1.9.1)	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

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