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Releases: CannyLab/tsne-cuda

Version 3.0.1 Release

07 Feb 21:14
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Minor updates to make things easier to package for anaconda

  • Removed setuptools dependency at runtime
  • Updated code to clear incorrect pip/faiss requirement
  • FIxed bugs with write_python_version_string.cmake

Version 3.0.0 Release

08 Jul 22:34
347d865
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This release modifies the code to support newer versions of CUDA (up to 11.3), as well as includes several additional bug fixes. It also adds multi-gpu support, and support for the new Ampere GPUs with CUDA 11.x.

2.1

15 Jul 17:47
6e17c21
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2.1

Bug fixes + logging

  • Fixes issue with early exaggeration not being passed through with python bindings
  • Fixes issue with calculation of normalization constant that affected embeddings on large datasets
  • Fixes conda compilation issues and allows download through conda
  • Adds some logging of the early phases (KNN computation, etc.)

tsne-cuda-2.1.tar.gz
tsne-cuda-2.1.zip

FIt-SNE Refactor

11 Jun 02:40
05c1f19
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Major refactor of the code, switching to using the FIt-SNE algorithm.

These changes, as well as other fixes along the way result in:

  • Faster runtime
  • Lower memory footprint
  • Bug fixes for compilation
  • Increased stability during runtime
  • Support for CUDA 10

tsne-cuda-2.0.tar.gz
tsne-cuda-2.0.zip