https://github.com/westlake-ai/inv-ml
[ECML-PKDD 2021] Invertible Manifold Learning for Dimension Reduction
https://github.com/westlake-ai/inv-ml
autoencoder deep-learning dimension-reduction invertible-models manifold-learning mnist pytorch tsne umap visualization
Last synced: about 1 month ago
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[ECML-PKDD 2021] Invertible Manifold Learning for Dimension Reduction
- Host: GitHub
- URL: https://github.com/westlake-ai/inv-ml
- Owner: Westlake-AI
- License: mit
- Created: 2020-09-30T03:10:38.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2023-01-15T03:34:26.000Z (over 2 years ago)
- Last Synced: 2023-04-29T00:34:46.747Z (about 2 years ago)
- Topics: autoencoder, deep-learning, dimension-reduction, invertible-models, manifold-learning, mnist, pytorch, tsne, umap, visualization
- Language: Python
- Homepage: https://arxiv.org/abs/2010.04012
- Size: 8.2 MB
- Stars: 3
- Watchers: 1
- Forks: 1
- Open Issues: 0