Python library for finding the optimal transformation(s) that makes two matrices as close as possible to each other.
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Updated
May 5, 2026 - Python
Python library for finding the optimal transformation(s) that makes two matrices as close as possible to each other.
📈 The package allows you to check the similarity between two shapes/curves, using Frechet distance together with Procrustes analysis.
Predicting FAU intensities to determine the type of emotion.
This package supports general, orthogonal, rotation, permutation, projection, and symmetric Procrustes problems, including both the normal one-sided approach and (for orthogonal and permutation Procrustes) two-sided approaches, where both the rows and columns are transformed.
A Python library for doing curve matching with Fréchet distance and Procrustes analysis
English-Sinhala multilingual word embedding alignment resources
Cross-modal alignment framework mapping RoBERTa text embeddings to DINOv2 vision latent space using diverse adapter architectures, Orthogonal Procrustes initialization, and contrastive learning.
Unsupervised detection of English semantic change 1600-1920: per-era Word2Vec embeddings on Project Gutenberg, orthogonal-Procrustes-aligned, with an interactive terminal explorer
Point-Set registration modules for 3D Slicer in ultrasound probe calibration
Supervised Learning in Geometric Morphometrics shapes
Zero-dataset, pure-math intelligence transplantation across different AI architectures (e.g., $SDXL \to FLUX$).
Procrustes-based analysis of cross-species cell-type geometry: which features are conserved between species, and which cannot be resolved from the single-cell atlases now available.
Pipeline MLOps integrat PyQGIS & AI local (FastAPI, Ollama Nemotron-3, Meta SAM 2, Metric3D v2) pentru vectorizare cadastrală automată din ortofotoplanuri și LiDAR LAKI în Stereo 70 (EPSG:3844/31700) & Marea Neagră 1975 (EPSG:5781). Auto-Snap Procrustes SVD 100% Open Data fără teren.
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