Alternatives and similar repositories for dbscan-kdtree-cuda

Users that are interested in dbscan-kdtree-cuda are comparing it to the libraries listed below

• shamanDevel / cuMat
  An expression template based linear algebra library running completely on the GPU using CUDA
  ☆25Updated 4 years ago
• l3lackcurtains / fast-cuda-gpu-dbscan
  CUDA-DClust+: Fast DBSCAN algorithm implemented on CUDA. Based on the research paper.
  ☆15Updated 3 months ago
• ChinYing-Li / CUDA-kdtree
  GPU-accelerated KD-tree implementation
  ☆44Updated 4 years ago
• darglein / TinyTorch
  A Minimalistic Auto-Diff Optimization Framework for Teaching and Understanding Pytorch
  ☆23Updated this week
• CUDA-Tutorial / CodeSamples
  Code samples for the CUDA tutorial "CUDA and Applications to Task-based Programming"
  ☆91Updated 2 years ago
• rahulyesantharao / batch-dynamic-kdtree
  Parallel, batch-dynamic kdtree
  ☆13Updated 3 years ago
• lattice-land / cuda-battery
  Abstractions of memory, allocator, vector, tuple, shared_ptr, unique_ptr, bitset, variant and string working on both CPU and GPU
  ☆31Updated 3 weeks ago
• hanm2019 / bucket-based_farthest-point-sampling_CPU
  the CPU implementation of bucket based farthest point sampling, achieves 7-81x speedup than the conventional implementation
  ☆24Updated last year
• PatWie / cuda-design-patterns
  Some CUDA design patterns and a bit of template magic for CUDA
  ☆156Updated 2 years ago
• Black-Phoenix / CUDA-SfM
  A structure from motion implemention in C++ and accelerated using CUDA
  ☆48Updated 5 years ago
• ingowald / cudaKDTree
  ☆271Updated 2 months ago
• owensgroup / BGHT
  BGHT: High-performance static GPU hash tables.
  ☆71Updated 2 months ago
• johnarobinson77 / KdTreeGPU
  A gpu based implementation of a K-D Tree Builder
  ☆114Updated 5 years ago
• Natsu-Akatsuki / pybind11
  来记录一波 pybind11 实例~
  ☆19Updated 2 years ago
• chhavisharma / Project4-CUDA-ICP
  CUDA based Iterative Closest Point Algorithm Implementation
  ☆69Updated 5 years ago
• rbregier / plycpp
  a simple C++ library to import/export Stanford PLY data.
  ☆22Updated last year
• yanqswhu / cuda_by_example
  The CMake version of cuda_by_example
  ☆149Updated 5 years ago
• cvg / raybender
  Fast CPU rendering in Python using the Intel® Embree backend
  ☆42Updated 9 months ago
• HuangCongQing / cuda-learning
  cuda编程学习入门
  ☆36Updated last year
• arneish / CUDA-PCA-jacobi
  CUDA C implementation of Principal Component Analysis (PCA) through Singular Value Decomposition (SVD) using a highly parallelisable vers…
  ☆26Updated 6 years ago
• metthueshoo / graphCut
  Graph Cut Algorithm in CUDA
  ☆27Updated 6 years ago
• xingxuejun1989 / SCVC
  ☆14Updated last year
• mraggi / tqdm-cpp
  Easily display progress in C++17. Inspired by python's awesome tqdm library.
  ☆68Updated last year
• GValiente / pcps
  CPU and GPU point cloud plane segmentation
  ☆29Updated 5 years ago
• liangzu / ARCS
  ARCS: Accurate Rotation and Correspondence Search
  ☆14Updated 3 years ago
• patmjen / maxflow_algorithms
  A collection of min-cut/max-flow algorithms.
  ☆49Updated 3 years ago
• GPUPeople / ACSpGEMM
  Repository holding the code base to AC-SpGEMM : "Adaptive Sparse Matrix-Matrix Multiplication on the GPU"
  ☆29Updated 5 years ago
• MuGdxy / muda
  μ-Cuda, COVER THE LAST MILE OF CUDA. With features: intellisense-friendly, structured launch, automatic cuda graph generation and updatin…
  ☆185Updated last month
• poncateam / ponca
  Ponca (fomerly known as Patate) is a header only C++/CUDA library for point cloud analysis
  ☆35Updated last month
• krulis-martin / cuda-kmeans
  A novell, highly-optimized CUDA implementation of k-means algorithm.
  ☆35Updated 3 years ago