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
Manify: A Python Library for Learning Non-Euclidean Representations
Manify is an open-source library for learning embeddings in non-Euclidean spaces and performing classification, regression, and curvature estimation.
- Year
- 2025
- Venue
- arXiv 2025
- Authors
- 4
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- Abstract onlyARXIV-DEFAULT
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- arxiv.org/abs/2503.09576ARXIV-DEFAULT
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