Papers › Manify: A Python Library for Learning Non-Euclidean Representations
Manify: A Python Library for Learning Non-Euclidean Representations
Philippe Chlenski, Kaizhu Du, Dylan Satow, Itsik Pe'er
We present Manify, an open-source Python library for non-Euclidean representation learning. Leveraging manifold learning techniques, Manify provides tools for learning embeddings in (products of) non-Euclidean spaces, performing classification and regression with data that lives in such spaces, and estimating the curvature of a manifold. Manify aims to advance research and applications in machine learning by offering a comprehensive suite of tools for manifold-based data analysis. Our source code, examples, datasets, results, and documentation are available at https://github.com/pchlenski/manify
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