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README.md

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 # TSNE-CUDA
 This repo is an optimized CUDA version of [FIt-SNE algorithm](https://github.com/KlugerLab/FIt-SNE) with associated python modules. We find that our implementation of t-SNE can be up to 1200x faster than Sklearn, or up to 50x faster than Multicore-TSNE when used with the right GPU. The paper describing our approach, as well as the results below, is available at [https://arxiv.org/abs/1807.11824](https://arxiv.org/abs/1807.11824).
 
-You can install binaries with anaconda for CUDA version 10.1, 10.2, 11.0 and 11.2 using `conda install tsnecuda -c cannylab -c pytorch`. Tsnecuda supports CUDA versions 9.0 and later through source installation, check out the wiki for up to date installation instructions. [https://github.com/CannyLab/tsne-cuda/wiki/](https://github.com/CannyLab/tsne-cuda/wiki/)
+You can install binaries with anaconda for CUDA version 10.1 and 10.2 using `conda install tsnecuda -c cannylab -c pytorch`. Tsnecuda supports CUDA versions 9.0 and later through source installation, check out the wiki for up to date installation instructions. [https://github.com/CannyLab/tsne-cuda/wiki/](https://github.com/CannyLab/tsne-cuda/wiki/)
 
 # Benchmarks
 ### Simulated Data