Showing 6 of total 6 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
t-kalinowski
keras: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 11 months ago.
10.93 score 10k scripts 55 dependents
martynplummer
rjags:Bayesian Graphical Models using MCMC
Interface to the JAGS MCMC library.
Maintained by Martyn Plummer. Last updated 6 days ago.
7 stars 9.88 score 4.0k scripts 165 dependents
lihualei71
adaptMT:Adaptive P-Value Thresholding for Multiple Hypothesis Testing with Side Information
Implementation of adaptive p-value thresholding (AdaPT), including both a framework that allows the user to specify any algorithm to learn local false discovery rate and a pool of convenient functions that implement specific algorithms. See Lei, Lihua and Fithian, William (2016) <arXiv:1609.06035>.
Maintained by Lihua Lei. Last updated 4 years ago.
9 stars 5.33 score 48 scripts
bioc
ADAPT:Analysis of Microbiome Differential Abundance by Pooling Tobit Models
ADAPT carries out differential abundance analysis for microbiome metagenomics data in phyloseq format. It has two innovations. One is to treat zero counts as left censored and use Tobit models for log count ratios. The other is an innovative way to find non-differentially abundant taxa as reference, then use the reference taxa to find the differentially abundant ones.
Maintained by Mukai Wang. Last updated 5 months ago.
differentialexpressionmicrobiomenormalizationsequencingmetagenomicssoftwaremultiplecomparisonopenblascpp
4.81 score 26 scripts
theussl
fMultivar:Rmetrics - Modeling of Multivariate Financial Return Distributions
A collection of functions inspired by Venables and Ripley (2002) <doi:10.1007/978-0-387-21706-2> and Azzalini and Capitanio (1999) <arXiv:0911.2093> to manage, investigate and analyze bivariate and multivariate data sets of financial returns.
Maintained by Stefan Theussl. Last updated 2 years ago.
3.69 score 99 scripts 7 dependents