pavlin-policar/openTSNE
A Python library implementing t-SNE dimensionality reduction with parallel computation and scalable embeddings.
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openTSNE provides a modular implementation of t-distributed Stochastic Neighbor Embedding (t-SNE), a widely-used dimensionality reduction algorithm for visualizing high-dimensional data. It includes recent improvements such as incremental embedding of new data points, massive speed optimizations enabling scale to millions of points, and techniques for better global cluster alignment in visualizations.
Frequently asked
- What is pavlin-policar/openTSNE?
- A Python library implementing t-SNE dimensionality reduction with parallel computation and scalable embeddings.
- Is openTSNE open source?
- Yes — pavlin-policar/openTSNE is open source, released under the BSD-3-Clause license.
- What language is openTSNE written in?
- pavlin-policar/openTSNE is primarily written in Python.
- How popular is openTSNE?
- pavlin-policar/openTSNE has 1.6k stars on GitHub.
- Where can I find openTSNE?
- pavlin-policar/openTSNE is on GitHub at https://github.com/pavlin-policar/openTSNE.