cmendl / pytenet

Python implementation of quantum tensor network operations and simulations, in particular the matrix product state framework

fatiando / verde

Verde is a Python library for processing spatial data (bathymetry, geophysics surveys, etc) and interpolating it on regular grids (i.e., gridding). The methods in Verde are similar to supervised...

mpascariu / ungroup

ungroup is an R package that introduces a versatile method for ungrouping binned count data assuming that counts are Poisson distributed and that the underlying sequence over a fine grid to be...

ornlneutronimaging / braggedgemodeling

Provides tools for calculating neutron Bragg Edge imaging spectrum

raamana / graynet

graynet helps you easily extract single-subject network-level features from T1-weighted mri features such as cortical thickness, gray matter density, subcortical morphometric features, gyrification...

dirmeier / datastructures

datastructures is an R package that uses Boost and STL data types and exports these into R. With this a new range of data structures is offered to R users that so far missed in the language...

scikit-tda / ripser.py

We provide a renovated and cross-platform Python implementation of Ripser, a blazingly fast persistent cohomology package. We incorporating features such as operability with sparse matrices,...

schalkdaniel / compboost

The R package compboost implements component-wise boosting in C++ using Rcpp and Armadillo to achieve efficient runtime behaviour and full memory control. It provides a modular object-oriented...

gallantlab / cottoncandy

cottoncandy is a python scientific library for storing and accessing numpy array data from cloud-based object stores. cottoncandy obviates the need to write (or read) numpy array data to disk as an...

ropensci / jstor

Functions and helpers to import metadata, n-grams and full-texts delivered by Data for Research (DfR) by JSTOR.

The package has been reviewed and accepted by rOpenSci.