Neutron imaging experiment produced data that must go first through a normalization process. This normalization removes electronic noises, gamma counts as well as pollution from neighboring...
A box-model that automatically creates and solves equations used to describe the evolution in atmospheric composition using Python with Numba and, optionally, Fortran.
A ski jump design tool for equivalent fall height. Includes a library for 2D skiing simulations and a graphical web application for designing ski jumps. It is written in Python backed by NumPy,...
Collection of miscellaneous utility functions, supporting data transformation tasks like recoding, dichotomizing or grouping variables, setting and replacing missing values. The data transformation...
opt_einsum is a tensor contraction order optimizer for NumPy with support for additional distributed and GPU compute backends like Dask and Tensorflow. This order optimization can lead to...
PyUnfold is an extensible framework for the deconvolution of discrete probability distributions via an iterative unfolding method.
The Vascular Modeling Toolkit is a collection of libraries and tools for 3D reconstruction, geometric analysis, mesh generation and surface data analysis for image-based modeling of blood vessels.
SpeechPy is an open source Python package that contains speech preprocessing techniques, speech features, and important post-processing operations. It provides most frequent used speech features...
A site for creating parametric diagrams of neural network architectures in three styles, to save researchers the hassle of drawing these diagrams by hand.
rsimsum is an R package for summarising results from Monte Carlo simulation studies. It computes summary statistics, and supports a lot of plots for quick exploration of results.
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