Showing 10 of total 10 results (show query)
eagerai
fastai:Interface to 'fastai'
The 'fastai' <https://docs.fast.ai/index.html> library simplifies training fast and accurate neural networks using modern best practices. It is based on research in to deep learning best practices undertaken at 'fast.ai', including 'out of the box' support for vision, text, tabular, audio, time series, and collaborative filtering models.
Maintained by Turgut Abdullayev. Last updated 12 months ago.
audiocollaborative-filteringdarknetdarknet-image-classificationfastaimedicalobject-detectiontabulartextvision
118 stars 9.40 score 76 scripts
kurthornik
RWeka:R/Weka Interface
An R interface to Weka (Version 3.9.3). Weka is a collection of machine learning algorithms for data mining tasks written in Java, containing tools for data pre-processing, classification, regression, clustering, association rules, and visualization. Package 'RWeka' contains the interface code, the Weka jar is in a separate package 'RWekajars'. For more information on Weka see <https://www.cs.waikato.ac.nz/ml/weka/>.
Maintained by Kurt Hornik. Last updated 2 years ago.
4 stars 8.24 score 1.8k scripts 14 dependents
bioc
signeR:Empirical Bayesian approach to mutational signature discovery
The signeR package provides an empirical Bayesian approach to mutational signature discovery. It is designed to analyze single nucleotide variation (SNV) counts in cancer genomes, but can also be applied to other features as well. Functionalities to characterize signatures or genome samples according to exposure patterns are also provided.
Maintained by Renan Valieris. Last updated 5 months ago.
genomicvariationsomaticmutationstatisticalmethodvisualizationbioconductorbioinformaticsopenblascpp
13 stars 7.67 score 22 scripts
erhard-lab
grandR:Comprehensive Analysis of Nucleotide Conversion Sequencing Data
Nucleotide conversion sequencing experiments have been developed to add a temporal dimension to RNA-seq and single-cell RNA-seq. Such experiments require specialized tools for primary processing such as GRAND-SLAM, (see 'Jürges et al' <doi:10.1093/bioinformatics/bty256>) and specialized tools for downstream analyses. 'grandR' provides a comprehensive toolbox for quality control, kinetic modeling, differential gene expression analysis and visualization of such data.
Maintained by Florian Erhard. Last updated 2 months ago.
11 stars 7.03 score 18 scripts 1 dependents
lem-usp
evolqg:Evolutionary Quantitative Genetics
Provides functions for covariance matrix comparisons, estimation of repeatabilities in measurements and matrices, and general evolutionary quantitative genetics tools. Melo D, Garcia G, Hubbe A, Assis A P, Marroig G. (2016) <doi:10.12688/f1000research.7082.3>.
Maintained by Diogo Melo. Last updated 11 months ago.
10 stars 6.26 score 114 scripts
oeysan
bfw:Bayesian Framework for Computational Modeling
Derived from the work of Kruschke (2015, <ISBN:9780124058880>), the present package aims to provide a framework for conducting Bayesian analysis using Markov chain Monte Carlo (MCMC) sampling utilizing the Just Another Gibbs Sampler ('JAGS', Plummer, 2003, <https://mcmc-jags.sourceforge.io>). The initial version includes several modules for conducting Bayesian equivalents of chi-squared tests, analysis of variance (ANOVA), multiple (hierarchical) regression, softmax regression, and for fitting data (e.g., structural equation modeling).
Maintained by Øystein Olav Skaar. Last updated 3 years ago.
bayesian-data-analysisbayesian-statisticsjagsmcmcpsychological-sciencecpp
10 stars 5.89 score 31 scripts
tfletcher05
QuantPsyc:Quantitative Psychology Tools
Contains tools useful for data screening, testing moderation (Cohen et. al. 2003)<doi:10.4324/9780203774441>, mediation (MacKinnon et. al. 2002)<doi:10.1037/1082-989x.7.1.83> and estimating power (Murphy & Myors 2014)<ISBN:9781315773155>.
Maintained by Thomas D. Fletcher. Last updated 3 years ago.
5.09 score 578 scripts
dots26
MaOEA:Many Objective Evolutionary Algorithm
A set of evolutionary algorithms to solve many-objective optimization. Hybridization between the algorithms are also facilitated. Available algorithms are: 'SMS-EMOA' <doi:10.1016/j.ejor.2006.08.008> 'NSGA-III' <doi:10.1109/TEVC.2013.2281535> 'MO-CMA-ES' <doi:10.1145/1830483.1830573> The following many-objective benchmark problems are also provided: 'DTLZ1'-'DTLZ4' from Deb, et al. (2001) <doi:10.1007/1-84628-137-7_6> and 'WFG4'-'WFG9' from Huband, et al. (2005) <doi:10.1109/TEVC.2005.861417>.
Maintained by Dani Irawan. Last updated 2 years ago.
6 stars 3.78 score 2 scripts
cran
InflectSSP:Melt Curve Fitting and Melt Shift Analysis
Analyzes raw abundance data from a cellular thermal shift experiment and calculates melt temperatures and melt shifts for each protein in the experiment. McCracken (2022) <doi:10.1101/2022.12.30.522131>.
Maintained by Amber Mosley. Last updated 2 years ago.
2.00 scorecran
manifold:Operations for Riemannian Manifolds
Implements operations for Riemannian manifolds, e.g., geodesic distance, Riemannian metric, exponential and logarithm maps, etc. Also incorporates random object generator on the manifolds. See Dai, Lin, and Müller (2021) <doi:10.1111/biom.13385>.
Maintained by Xiongtao Dai. Last updated 2 years ago.
1 stars 1.48 score 1 dependents