This is a fork of the codeberg NASA and EPA satellite solar wind analysis project.

Vendor tree for Xiaomi 11 Lite 5G NE

Source code for the article PhysRevD.105.123531 entitled "Forecasting F(Q) cosmology with ΛCDM background using standard sirens".

The study employs Moran’s I statistic and Local Indicators of Spatial Association (LISA) to analyze spatial patterns and dependencies in housing prices across U.S. counties.

Detecting GW signals from extreme mass ratio inspirals using convolutional autoencoders

Master Thesis - New numerical methods for the computation of the self-force around Black Holes

Code for generation of mock data for LISA, in the presence of a DWD foreground

Lisp production-rule system (LISA - Lisp-based Intelligent Software Agent) modified for JSCL A fork of http://lisa.sourceforge.net/ v3.2

measure the co-variation of properties within geographic space

Rust frontend for LiSA

API to list and search countries and cities

missi-user 11 RKQ1.210503.001 V12.5.14.0.RKOMIXM release-keys

Calculating global and local spatial autocorrelation of income noted per each polish county in 2022 based on Moran's I and LISA statistics. Calculations were conducted using the following packages: pySAL, splot.esda, geopandas.

The Lisa programming language.

Mirror of EPFL CS-550 GitLab page