Corv / CUDA-GMM-MultiGPULinks
CUDA implementation of data clustering using expectation maximization with a Gaussian mixture model. Supports multiple GPUs on a single node.
☆27Updated 13 years ago
Alternatives and similar repositories for CUDA-GMM-MultiGPU
Users that are interested in CUDA-GMM-MultiGPU are comparing it to the libraries listed below
Sorting:
- FastHOG library that has been fixed to work with CUDA 5.x on Ubuntu 12.04☆20Updated 12 years ago
- Pedestrian Detection Project Codes and Documentations☆23Updated 11 years ago
- poseestimator for tracking cad models☆11Updated 9 years ago
- Some deep learning models written with mxnet and C++11.☆12Updated 8 years ago
- Background modeling using Gaussian Mixture Model - C++☆31Updated 12 years ago
- Example of using VLFeat's SLIC implementation from C++.☆10Updated 9 years ago
- Fast high-dimensional exact KNN search.☆18Updated 8 years ago
- ☆14Updated 9 years ago
- CUDA implementation of k-means☆23Updated 12 years ago
- ☆12Updated 7 years ago
- python scripts for vehicle detection and tracking☆26Updated 10 years ago
- CUDA implementation of data clustering using expectation maximization with a Gaussian mixture model. Supports multiple GPUs on a single n…☆18Updated 13 years ago
- Object tracking demo with particle filter algorithm in python