mpurg / qtools

qtools is a Python library for interfacing the molecular simulation package Q. It provides an API for streamlining simulations of enzymatic reactions, with applicability in design of novel...

DOI pending

MI2DataLab / survxai

An R package survxai is a tool for creating explanations of survival models. For both, complex and simple survival models. It also enables to compare them. Currently, four explanation methods are...

pachamaltese / gravity

A wrapper of different standard estimation methods for gravity models.
This package provides estimation methods for log-log models and multiplicative models.

JuliaText / Embeddings.jl

Embeddings.jl is a tool to help users of the Julia programming language ([@Julia]) make use of pretrained word embeddings for NLP.
Word embeddings are a very important feature representation in...

DOI pending

ornlneutronimaging / braggedgemodeling

Provides tools for calculating neutron Bragg Edge imaging spectrum

dahtah / imager

imager enables fast image processing for images in up to 4 dimensions (two spatial dimensions, one time/depth dimension, one colour dimension). Provides most traditional image processing tools...

DOI pending

hippylib / hippylib

hIPPYlib implements state-of-the-art scalable algorithms for PDE-based deterministic and Bayesian inverse problems governed by partial differential equation (PDE) forward problems. The key property...

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...

oxinabox / DataDepsGenerators.jl

DataDepsGenerators.jl is an tool written to help users of the Julia programming language, to observe best practices when making use of published datasets. Using the metadata present in published...

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...