R Package Scholar
16,986

keras: R Interface to 'Keras'

tomasz kalinowski  daniel falbel  jj allaire  rstudio  google  yuan tang  martin studer  sigrid keydana   View description and downloadsView dependenciesGitHub project

2017 Published
2.13.0 Version
0 Citations
8 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
mlflow: Interface to 'MLflow' (Version 2.11.1)

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
MantaID: A Machine-Learning Based Tool to Automate the Identification of Biological Database IDs (Version 1.0.2)

2022
OptiSembleForecasting: Optimization Based Ensemble Forecasting Using MCS Algorithm (Version 0.1.0)

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 1.0.2)

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
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 1.2-3)

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
condvis2: Interactive Conditional Visualization for Supervised and Unsupervised Models in Shiny (Version 0.1.2)

2019
counterfactuals: Counterfactual Explanations (Version 0.1.2)

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
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
drake: A Pipeline Toolkit for Reproducible Computation at Scale (Version 7.13.9)

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

2018
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
iForecast: Machine Learning Time Series Forecasting (Version 1.0.7)

2020
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 0.11.2)

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

2023
mrbin: Metabolomics Data Analysis Functions (Version 1.7.4)

2020
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
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
reservr: Fit Distributions and Neural Networks to Censored and Truncated Data (Version 0.0.2)

2022
rsleep: Analysis of Sleep Data (Version 1.0.12)

2019
seriation: Infrastructure for Ordering Objects Using Seriation (Version 1.5.4)

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 1.7.0)

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

2018
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

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