ghoulsblade / Cudadbclustering
Clustering via Graphics Processor, using NVIDIA CUDA sdk to preform database clustering on the massively parallel graphics card processor
Labels
Projects that are alternatives of or similar to Cudadbclustering
Mc Cnn
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
Stars: ✭ 638 (+10533.33%)
Mutual labels: cuda
Arraymancer
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
Stars: ✭ 793 (+13116.67%)
Mutual labels: cuda
Nv Wavenet
Reference implementation of real-time autoregressive wavenet inference
Stars: ✭ 681 (+11250%)
Mutual labels: cuda
Deep Painterly Harmonization
Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189
Stars: ✭ 6,027 (+100350%)
Mutual labels: cuda
Ethereum nvidia miner
💰 USB flash drive ISO image for Ethereum, Zcash and Monero mining with NVIDIA graphics cards and Ubuntu GNU/Linux (headless)
Stars: ✭ 772 (+12766.67%)
Mutual labels: cuda
Kmcuda
Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA
Stars: ✭ 627 (+10350%)
Mutual labels: cuda
Pytorch Loss
label-smooth, amsoftmax, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
Stars: ✭ 812 (+13433.33%)
Mutual labels: cuda
Kintinuous
Real-time large scale dense visual SLAM system
Stars: ✭ 740 (+12233.33%)
Mutual labels: cuda
Pyopencl
OpenCL integration for Python, plus shiny features
Stars: ✭ 790 (+13066.67%)
Mutual labels: cuda
Chainer
A flexible framework of neural networks for deep learning
Stars: ✭ 5,656 (+94166.67%)
Mutual labels: cuda
Blocksparse
Efficient GPU kernels for block-sparse matrix multiplication and convolution
Stars: ✭ 797 (+13183.33%)
Mutual labels: cuda
Accelerate
Embedded language for high-performance array computations
Stars: ✭ 751 (+12416.67%)
Mutual labels: cuda
Libcudarange
An interval arithmetic and affine arithmetic library for NVIDIA CUDA
Stars: ✭ 5 (-16.67%)
Mutual labels: cuda
CudaDBClustering
Clustering via Graphics Processor, using NVIDIA CUDA sdk to preform database clustering on the massively parallel graphics card processor
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].