Plug-and-play semi-relaxed inverse optimal transport (IOT) in Python: Anderson-accelerated soft Sinkhorn with exact implicit gradients, sklearn-style fitting, transition matrices, random-walk pseudotime, AnnData/scanpy interface, matplotlib plots. numpy in, numpy out.
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