openTSNE: Extensible, parallel implementations of t-SNE. openTSNE is a modular Python implementation of t-Distributed Stochasitc Neighbor Embedding (t-SNE) , a popular dimensionality-reduction algorithm for visualizing high-dimensional data sets. openTSNE incorporates the latest improvements to the t-SNE algorithm, including the ability to add new data points to existing embeddings , massive speed improvements  , enabling t-SNE to scale to millions of data points and various tricks to improve global alignment of the resulting visualizations
References in zbMATH (referenced in 2 articles )
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- Rudin, Cynthia; Chen, Chaofan; Chen, Zhi; Huang, Haiyang; Semenova, Lesia; Zhong, Chudi: Interpretable machine learning: fundamental principles and 10 grand challenges (2022)
- Sainburg, Tim; Mcinnes, Leland; Gentner, Timothy Q.: Parametric UMAP embeddings for representation and semisupervised learning (2021)