courbot's Stars
mpf/spgl1
A solver for large-scale sparse least squares
el-hult/pyppca
Probabilistic PCA which is applicable also on data with missing values. Missing value estimation is typically better than NIPALS but also slower to compute and uses more memory. A port to Python of the implementation by Jakob Verbeek.
LeonArcher/py_cwt2d
Simple 2D continuous wavelet transform implementation in Python
bernard-legras/STC
Manipulating geostationary netcdf satellite images and grib data from ECMWF
ClementHardy/PySFW
Solving the BLasso optimization problem via the sliding Frank-Wolfe algorithm
kdlamb/THEMISML