serban / kmeans
A CUDA implementation of the k-means clustering algorithm
☆249Updated 12 years ago
Alternatives and similar repositories for kmeans:
Users that are interested in kmeans are comparing it to the libraries listed below
- kmeans☆54Updated 8 years ago
- A simple memory manager for CUDA designed to help Deep Learning frameworks manage memory☆296Updated 6 years ago
- Facebook's CUDA extensions.☆283Updated 5 years ago
- CUDA implementation of k-means☆23Updated 11 years ago
- CUDA Matrix Factorization Library with Stochastic Gradient Descent (SGD)☆71Updated 7 years ago
- A GPU implementation of Convolutional Neural Nets in C++☆506Updated 4 years ago
- High Efficiency Convolution Kernel for Maxwell GPU Architecture☆134Updated 7 years ago
- Matrix library for CUDA in C++ and Python☆196Updated 8 years ago
- CUDA Matrix Factorization Library with Alternating Least Square (ALS)☆176Updated 6 years ago
- PMLS-Caffe: Distributed Deep Learning Framework for Parallel ML System☆194Updated 6 years ago
- Research code implementing inverted multiindex structure☆82Updated 11 years ago
- My fork of Alex Krizhevsky's cuda-convnet from 2013 where I added dropout, among other features.☆254Updated 10 years ago
- GPU-based large scale Approx. Nearest Neighbor Search, accepted at CVPR 2016☆91Updated 6 years ago
- C++ 11 implementation of Geoff Hinton's Deep Learning matlab code☆285Updated 9 years ago
- Python wrappers for the NVIDIA cuDNN libraries☆140Updated 7 years ago
- GPU-specialized parameter server for GPU machine learning.☆100Updated 6 years ago
- A c++ toolbox of locality-sensitive hashing (LSH), provides several popular LSH algorithms, also support python and matlab.☆287Updated 7 years ago
- kmeans clustering with multi-GPU capabilities☆118Updated last year
- CUDA Random Forest implementation for Image Labeling tasks☆182Updated 5 years ago
- CNN accelerated by cuda. Test on mnist and finilly get 99.76%☆186Updated 7 years ago
- mpi-caffe☆49Updated 5 years ago
- A CUDNN minimal deep learning training code sample using LeNet.☆264Updated last year
- Benchmarks for CNTK and other toolkits.☆44Updated 9 years ago
- ☆215Updated 5 years ago
- Convolutional neural networks C++ framework with CPU and GPU (CUDA) backends☆178Updated 6 years ago
- CuSha is a CUDA-based vertex-centric graph processing framework that uses G-Shards and CW representations.☆52Updated 9 years ago
- Boda: A C++ Framework for Efficient Experiments in Computer Vision☆63Updated 5 years ago
- Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA☆813Updated 2 years ago
- A library for k-nearest neighbor search☆383Updated 9 months ago
- CUDA Data Parallel Primitives Library☆426Updated 6 years ago