Showing 7 of total 7 results (show query)
rstudio
keras3:R Interface to 'Keras'
Interface to 'Keras' <https://keras.io>, a high-level neural networks API. 'Keras' was developed with a focus on enabling fast experimentation, supports both convolution based networks and recurrent networks (as well as combinations of the two), and runs seamlessly on both CPU and GPU devices.
Maintained by Tomasz Kalinowski. Last updated 9 days ago.
845 stars 13.63 score 264 scripts 2 dependents
eagerai
kerastuneR:Interface to 'Keras Tuner'
'Keras Tuner' <https://keras-team.github.io/keras-tuner/> is a hypertuning framework made for humans. It aims at making the life of AI practitioners, hypertuner algorithm creators and model designers as simple as possible by providing them with a clean and easy to use API for hypertuning. 'Keras Tuner' makes moving from a base model to a hypertuned one quick and easy by only requiring you to change a few lines of code.
Maintained by Turgut Abdullayev. Last updated 12 months ago.
hyperparameter-tuninghypertuningkeraskeras-tunertensorflowtrial
34 stars 6.61 score 48 scripts
jacekbialek
PriceIndices:Calculating Bilateral and Multilateral Price Indexes
Preparing a scanner data set for price dynamics calculations (data selecting, data classification, data matching, data filtering). Computing bilateral and multilateral indexes. For details on these methods see: Diewert and Fox (2020) <doi:10.1080/07350015.2020.1816176>, Białek (2019) <doi:10.2478/jos-2019-0014> or Białek (2020) <doi:10.2478/jos-2020-0037>.
Maintained by Jacek Białek. Last updated 2 months ago.
11 stars 6.02 score 16 scripts
cran
fastml:Fast Machine Learning Model Training and Evaluation
Streamlines the training, evaluation, and comparison of multiple machine learning models with minimal code by providing comprehensive data preprocessing and support for a wide range of algorithms with hyperparameter tuning. It offers performance metrics and visualization tools to facilitate efficient and effective machine learning workflows.
Maintained by Selcuk Korkmaz. Last updated 23 days ago.
3.76 scorecran
BKT:Bayesian Knowledge Tracing Model
Fitting, cross-validating, and predicting with Bayesian Knowledge Tracing (BKT) models. It is designed for analyzing educational datasets to trace student knowledge over time. The package includes functions for fitting BKT models, evaluating their performance using various metrics, and making predictions on new data. It provides the similar functionality as the Python package pyBKT authored by Zachary A. Pardos (zp@berkeley.edu) at <https://github.com/CAHLR/pyBKT>.
Maintained by Yuhao Yuan. Last updated 2 months ago.
2.00 score
cachafla
validmind:Interface to the 'ValidMind' Platform
Deploy, execute, and analyze the results of models hosted on the 'ValidMind' platform <https://validmind.com>. This package interfaces with the 'Python' client library in order to allow advanced diagnostics and insight into trained models all from an 'R' environment.
Maintained by Andres Rodriguez. Last updated 5 months ago.
2.00 score 6 scripts