vincentfpgarcia / kNN-CUDALinks
Fast k nearest neighbor search using GPU
☆533Updated 7 years ago
Alternatives and similar repositories for kNN-CUDA
Users that are interested in kNN-CUDA are comparing it to the libraries listed below
Sorting:
- Fast K-Nearest Neighbor search with GPU☆141Updated 7 years ago
- OctNet: Learning Deep 3D Representations at High Resolutions☆500Updated 4 years ago
- CUDA Data Parallel Primitives Library☆432Updated 6 years ago
- Fast Global Registration☆534Updated 11 months ago
- MWE for using the Eigen library in CUDA kernels☆119Updated 2 years ago
- A CUDA implementation of the k-means clustering algorithm☆252Updated 13 years ago
- This is a cross-platform, CUDA-based C++ library for general-purpose, unconstrained nonlinear optimization on the GPU. It implements the …☆138Updated 5 years ago
- CUSP : A C++ Templated Sparse Matrix Library☆415Updated this week
- A gpu based implementation of a K-D Tree Builder☆114Updated 5 years ago
- ☆267Updated last month
- O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis☆741Updated 2 years ago
- Autoencoder for Point Clouds☆433Updated last year
- Fast radius neighbor search with an Octree (ICRA 2015)☆365Updated 5 years ago
- Compute the exact Euclidean Distance Transform and Voronoi Diagram for 2D and 3D binary images using the GPU.☆77Updated 5 years ago
- [MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.☆1,383Updated 5 months ago
- GGNN: State of the Art Graph-based GPU Nearest Neighbor Search☆163Updated 5 months ago
- Opt DSL☆257Updated 5 years ago
- Implementation of ConjugateGradients method using C and Nvidia CUDA☆51Updated 3 years ago
- CUDA C implementation of Principal Component Analysis (PCA) through Singular Value Decomposition (SVD) using a highly parallelisable vers…☆26Updated 6 years ago
- SPLATNet: Sparse Lattice Networks for Point Cloud Processing (CVPR2018)☆267Updated 4 years ago
- Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds☆91Updated 5 years ago
- A CUDA implementation of SIFT for NVidia GPUs (1.2 ms on a GTX 1060)☆912Updated last year
- CUDA official sample codes☆372Updated 9 years ago
- Automatically exported from code.google.com/p/sparseicp☆249Updated 2 years ago
- Source code that accompanies The CUDA Handbook.☆532Updated 6 months ago
- An GPU/CUDA implementation of the Hungarian algorithm☆111Updated 6 years ago
- Source code for: Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds), accepted at ACCV 2018☆117Updated 6 years ago
- pytorch knn [cuda version]☆308Updated 3 years ago
- Efficient graph clustering software for normalized cut and ratio association on undirected graphs. Copyright(c) 2008 Brian Kulis, Yuqiang…☆22Updated 13 years ago
- SO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018☆344Updated 4 years ago