Implementations

Where the working code lives.

LibraryRoleInstallLinks
thurstone The fast ability transform: forward (abilities → win probabilities) and inverse (probabilities → abilities), arbitrary base densities, dead-heat handling, dynamic tracking. pip install thurstone GitHub · docs & demos
kinetics This repository: identity-verification experiments, synthetic KMC testbeds, and the watermark-races study — exploratory code that graduates elsewhere when stable. git clone GitHub · experiments · watermark_races
precise Online covariance estimation and Schur-complement machinery — relevant to the rank-one cavity side and to streaming maintenance (Q5). pip install precise GitHub
schur Sibling research site: the same Schur-complement object in portfolio construction and spatial pseudo-likelihoods. GitHub · site

Running the experiments

The identity checks in experiments/ need only numpy:

python experiments/cavity_downdate_demo.py   # rank-one cavity: one inverse, all deletions
python experiments/race_field_demo.py        # multiplicative cavity: one field, all races

The watermark study in watermark_races/ additionally needs PyTorch and Hugging Face Transformers; see its README.