https://github.com/timsainb/parametricumap_paper
Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning" (Sainburg, McInnes, Gentner, 2020).
https://github.com/timsainb/parametricumap_paper
dimensionality-reduction machine-learning representation-learning semisupervised-learning umap
Last synced: 5 months ago
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Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning" (Sainburg, McInnes, Gentner, 2020).
- Host: GitHub
- URL: https://github.com/timsainb/parametricumap_paper
- Owner: timsainb
- License: mit
- Created: 2020-05-29T19:11:08.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2021-02-08T03:55:29.000Z (about 5 years ago)
- Last Synced: 2025-02-27T19:03:36.303Z (about 1 year ago)
- Topics: dimensionality-reduction, machine-learning, representation-learning, semisupervised-learning, umap
- Language: Jupyter Notebook
- Homepage:
- Size: 1.42 GB
- Stars: 150
- Watchers: 8
- Forks: 15
- Open Issues: 3
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Metadata Files:
- Readme: README.md
- License: LICENSE