fib_tf is a Python framework developed on the top of TensorFlow for cardiac electrophysiology simulation. The primary goal of fib_tf is to test and assess the suitability of TensorFlow for solving...
mlpack is a flexible and fast machine learning library written in C++ that has bindings that allow use from the command-line and from Python, with support for other languages in active development....
A python implementation of Kandasamy et al. (2015) for deriving approximate posterior distributions.
Our package is a Python library designed for easy visualization of three-strategy evolutionary games. It has a broad array of possible visual styles so that users can adjust how they would like...
RcmdrPlugin.OptimClassifier is an R Commander Plug-In containing multiple methods to create binary classification models provides in OptimClassifier package. The main goal is to train complex...
Galore provides command-line tools and a Python API for post-processing data from electronic structure calculations. This intended for researchers in the materials chemistry/physics community to...
An R package to perform inference in a mixture of discrete Laplace distributions using the EM algorithm. This can e.g. be used in forensic genetics to evaluate the evidential strength of a Y...
Hierdenc is a tool for retrieving nearest neighbors and clustering of large categorical data sets repesented in transactional or bag-of-words format.
The clustering is achieved via a...
An extendable framework for high-performance geostatistics in Julia.
his package focuses on the retrieval of survey data using the Qualtrics API and aims to reduce the pre-processing steps needed to prepare this data for analysis. It also supports the import of...
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