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About A local-first browser extension that fills job-application forms from local JSON profile data and files. Matches are computed deterministically via multi-signal scoring, structural repeated-block detection, and bipartite optimization.
End-to-End Python implementation of STRAPSim: a novel portfolio similarity metric from Li et al. (2025). Combines Random Forest proximity learning with residual-aware bipartite matching to quantify economic substitutability between ETF baskets. Full replication pipeline included.
This is the official implementation of the bipartite matching experiment from the paper "Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization".
Python implementation of an approximate Euclidean bipartite matching algorithm proposed by a 2004 paper "A Near-Linear Constant-Factor Approximation for Euclidean Bipartite Matching?" by Pankaj Agarwal and Kasturi Varadarajan.