with the selected classifier
Automatic configuration generation for emulated networks
Series of Data Science Graphs written by Philip Geurin and Matt Drury
Toolbox for identifying and describing branching processes from continuous time series, such as neuronal avalanches
Manipulate jagged, chunky, and/or bitmasked arrays as easily as Numpy.
Implementation of the surreal numbers in Python.
Python package for Bayesian Tests / AB Testing.
statistics backport 2.6 - 3.3
A python package for performing exterior, and terminal ballistics calculations.
A toolbox to analyze mobile phone metadata.
Convert numbers between bases.
Reversible obfuscated identifier hashes.
basic CAS parsing faculties
batemaneq provides a Python package for evaluating the Bateman equation
Bayesian Bootstrapping for statistics and regression models
Fitting power law distributions using Bayesian Inference
BD Mesh generator
BD Finite Difference Poisson equation solver
Package for manipulations with Quaternions
3D space positioning and motion
An indirect trajectory optimization framework.