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  1. baidu-research / warp-ctc

    Fast parallel CTC.

    Cuda • Built by @ekelsen @jaredcasper @bryancatanzaro @dxyzab @bshillingford

  2. antonmks / Alenka

    GPU database engine

    Cuda • Built by @antonmks @hurdad @Randolph42 @AlexeyAB @pinkdevelops

  3. NVlabs / moderngpu

    Design patterns for GPU computing

    Cuda • Built by @seanbaxter @sdalton1

  4. TorontoDeepLearning / convnet

    A GPU implementation of Convolutional Neural Nets in C++

    Cuda • Built by @nitishsrivastava @avdmitry @rgrosse @itgod @neocortex14

  5. vlfeat / matconvnet

    MatConvNet: CNNs for MATLAB

    Cuda • Built by @vedaldi @lenck @hyenal @omkarparkhi @jaderberg

  6. antonmks / nvParse

    Fast, gpu-based CSV parser

    Cuda • Built by @antonmks @hurdad

  7. udacity / cs344

    Introduction to Parallel Programming class code

    Cuda • Built by @msarahan @chenghanlee @chenghan @cpowell @has207

  8. akrizhevsky / cuda-convnet2

    Automatically exported from code.google.com/p/cuda-convnet2

    Cuda • Built by @akrizhevsky @bestimage-tencent

  9. dnouri / cuda-convnet

    Fork of Alex Krizhevsky's cuda-convnet 1. Adds dropout.

    Cuda • Built by @kashif @dnouri @bitxiong

  10. sdemyanov / ConvNet

    Convolutional Neural Networks for Matlab, including Invariang Backpropagation algorithm (IBP). Has versions for GPU and CPU, written on CUDA, C++ and Matlab. All versions work identically. The GPU version uses kernels from Alex Krizhevsky's library 'cuda-convnet2'.

    Cuda • Built by @sdemyanov @rmanor

  11. NVlabs / cub

    CUB is a flexible library of cooperative threadblock primitives and other utilities for CUDA kernel programming.

    Cuda • Built by @dumerrill

  12. facebook / fbcuda

    Facebook's CUDA extensions.

    Cuda • Built by @wickedfoo @ajtulloch @soumith @colesbury

  13. jzbontar / mc-cnn

    Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches

    Cuda • Built by @jzbontar

  14. torch / cutorch

    A CUDA backend for Torch7

    Cuda • Built by @soumith @dominikgrewe @nicholas-leonard @clementfarabet @akfidjeland

  15. gunrock / gunrock

    High-Performance Graph Primitives on GPUs

    Cuda • Built by @yzhwang @ydwu @sgpyc @jowens @andyriffel

  16. ArchaeaSoftware / cudahandbook

    Source code that accompanies The CUDA Handbook.

    Cuda • Built by @ArchaeaSoftware @tycho @cdwfs

  17. torch / cunn

    Cuda • Built by @soumith @clementfarabet @szagoruyko @nicholas-leonard @andreaskoepf

  18. NVIDIA / nccl

    Optimized primitives for collective multi-GPU communication

    Cuda • Built by @nluehr @borisfom @lukeyeager @yangky11 @slayton58

  19. zhxfl / CUDA-CNN

    CNN accelerated by cuda. Test on mnist and finilly get 99.76%

    Cuda • Built by @zhxfl @liuyxin

  20. szagoruyko / imagine-nn

    IMAGINE torch neural network routines

    Cuda • Built by @szagoruyko @fmassa @jhjin

  21. Celebrandil / CudaSift

    A CUDA implementation of SIFT for NVidia GPUs

    Cuda • Built by @Celebrandil

  22. voutcn / megahit

    MEGAHIT: An ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph

    Cuda • Built by @voutcn @ctb @shaman-narayanasamy @lgautier @sebhtml

  23. NVlabs / nvbio-gpl

    NVBIO is a library of reusable components designed to accelerate bioinformatics applications using CUDA.

    Cuda • Built by @nsubtil

  24. jhjin / flattened-cnn

    Flattened convolutional neural networks (1D convolution modules for Torch nn)

    Cuda • Built by @jhjin @Aysegul

  25. nullsatz / gputools

    gputools R package for gpu computing

    Cuda • Built by @nullsatz

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