From 347d86518a20c988b21127b38f11d675448de0af Mon Sep 17 00:00:00 2001 From: David Chan Date: Thu, 8 Jul 2021 15:27:13 -0700 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index b5558ca..6637a9a 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,7 @@ # 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