nercms-mmap/ra-lib

RA-Lib is a Python rank-aggregation library and benchmarking environment. Its main workflow takes ranked or scored item lists from multiple voters, applies an aggregation method, and produces an ordered list; relevance labels can also support supervised or semi-supervised training and evaluation. The implementation separates input processing, evaluation, and unsupervised, supervised, and semi-supervised methods. The README documents a broad method catalog, while the sampled source is partial, so links between particular algorithms and shared utilities are shown only where supported.