CannyLab/tsne-cuda

GPU Accelerated t-SNE for CUDA with Python bindings

CudaC++PythonCMakeRoffCOtherpythongpucudamultithreadingdata-visualizationmnistdata-analysistsne-algorithmtsnebarnes-hut-tsnebarnes-hutfit-tsnetsne-cuda
This is stars and forks stats for /CannyLab/tsne-cuda repository. As of 01 May, 2024 this repository has 1619 stars and 121 forks.

TSNE-CUDA This repo is an optimized CUDA version of FIt-SNE algorithm 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. You can install binaries with anaconda for CUDA version 10.1 and 10.2 using conda install tsnecuda -c conda-forge. Tsnecuda supports...
Read on GithubGithub Stats Page
repotechsstarsweeklyforksweekly
sangvaleap/app-flutter-online-courseDartRubyOther2260930
fleaflet/flutter_mapDartC++CMake2.5k08120
bauerj/paperless_appDartRubyOther4800480
saha-rajdeep/kubernetescodeDockerfilePython510468+5
alanvardy/exzeitableElixirCSSJavaScript2090270
nnicandro/emacs-jupyterEmacs LispJavaScriptOther8420810
alembics/disco-diffusionJupyter NotebookPythonDockerfile7.4k+41.1k0
janestreet/magic-traceOCamlOther4.2k+3710
rmaia/pavoROther61+1160
CharlotteUppsall/AgilePeacockRobotFrameworkPython1050