jgraving/selfsne
Self-Supervised Noise Embeddings (Self-SNE)
Self-SNE helps you compress complex, high-dimensional datasets like images, sequences, or tables into a simpler, low-dimensional representation. You provide your raw data, and it outputs a more compact version that still preserves the original data's underlying patterns. This is ideal for researchers or data scientists working with large, intricate datasets who need to simplify them for analysis or visualization.
158 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to reduce the complexity of large datasets while retaining important structural information.
Not ideal if you need a fully validated, production-ready solution, as this is an alpha release.
Stars
158
Forks
12
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Apr 03, 2025
Commits (30d)
0
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