| jmstate |
Python package for joint multi-state models. Implements estimation and prediction methods combining longitudinal markers with multi-state survival processes, with uniform high-probability control of survival functions. |
| uniformbands |
Python package deriving non-asymptotic uniform confidence bands for survival functions in large probability, usable for rigorous inference under censoring. |
| sbcluster |
Python package implementing Spectral Bridges, a scalable topological clustering algorithm. Partitions data via Voronoï regions then detects cluster boundaries and low-density zones through scale-invariant spectral methods. |
| fastkmeanspp |
Fast C++-backed k-means++ initialisation for Python. Accelerates the seeding step with a BLAS routine for probabilistic distance-based scheme, with potential speedups of \(\times 10\) compared to scikit-learn. |