Over time we have written software related to data analysis, machine learning and optimization that we made free to use. Below are the links to the corresponding sourceforge sites:
A python visualization module for gain- and lift-charts with a one line visualization function:
https://www.sourceforge.net/projects/gains-chart
A similar python visualization module for linear and logistic regression:
https://www.sourceforge.net/projects/regression-plot
A python module to convert general (with non-numeric columns) spreadsheet tables into purely numeric tables. Often needed for data preprocessing in maschine learning applications:
https://www.sourceforge.net/projects/numeric-dataframe-converter
A fortran-95 module to calculate the L1-norm (robust) linear regression coefficients.
https://www.sourceforge.net/projects/l1-norm-robust-regression
A fortran-95 library for genetic algorithms:
https://www.sourceforge.net/projects/ga-tools
Fortran-95 wrappers for Michael Powells global optimization routines that do not use derivatives:
https://www.sourceforge.net/projects/newuoa-fortran95
https://www.sourceforge.net/projects/bobyqa-fortran95
https://www.sourceforge.net/projects/lincoa-fortran95