PrototypeCommon
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).
- Owner
- timsainb (personal account)
- Stars
- Stars: 153
- Forks
- Forks: 15
- Language
- Jupyter Notebook
- License
- MIT
- Created
- 2020
- Topics
- umapdimensionality-reductionsemisupervised-learningrepresentation-learningmachine-learning
- Tier
- Prototype (100 to 249 ★) What this tier means
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