Alternatives and similar repositories for dbscan-kdtree-cuda

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

• l3lackcurtains / fast-cuda-gpu-dbscan
  CUDA-DClust+: Fast DBSCAN algorithm implemented on CUDA. Based on the research paper.
  ☆13Updated last month
• l3lackcurtains / dbscan-cuda
  Massively parallel DBSCAN algorithm implemented in CUDA.
  ☆12Updated 4 years ago
• shamanDevel / cuMat
  An expression template based linear algebra library running completely on the GPU using CUDA
  ☆25Updated 4 years ago
• CUDA-Tutorial / CodeSamples
  Code samples for the CUDA tutorial "CUDA and Applications to Task-based Programming"
  ☆89Updated last year
• darglein / TinyTorch
  A Minimalistic Auto-Diff Optimization Framework for Teaching and Understanding Pytorch
  ☆21Updated this week
• ingowald / cudaKDTree
  ☆246Updated 2 months 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
  ☆30Updated 2 months ago
• ca1773130n / SLIC-DBSCAN-CUDA
  ☆32Updated 7 years ago
• rahulyesantharao / batch-dynamic-kdtree
  Parallel, batch-dynamic kdtree
  ☆13Updated 3 years ago
• cdcseacave / TinyNPY
  Read/write python numpy array NPY/NPZ files
  ☆10Updated 5 years ago
• cggos / hpc
  High-Performance Computing: CPU Instructions, GPU OpenCL & CUDA, etc.
  ☆14Updated last year
• ChinYing-Li / CUDA-kdtree
  GPU-accelerated KD-tree implementation
  ☆45Updated 3 years ago
• cdalitz / triplclust
  An algorithm for curve detection in 3D point clouds
  ☆12Updated last year
• sergiud / SuiteSparse
  SuiteSparse: a suite of sparse matrix packages by @DrTimothyAldenDavis et al. with native CMake support
  ☆53Updated this week
• mattdean1 / cuda
  An implementation of parallel exclusive scan in CUDA
  ☆62Updated 7 years ago
• pkestene / pybind11-cuda
  ☆22Updated last year
• metthueshoo / graphCut
  Graph Cut Algorithm in CUDA
  ☆25Updated 6 years ago
• fynv / ThrustRTC
  CUDA tool set for non-C++ languages that provides similar functionality like Thrust, with NVRTC at its core.
  ☆59Updated 2 years ago
• brian-kelley / CUDA-QR
  A new QR decomposition algorithm implemented in CUDA
  ☆17Updated last year
• mfaizanse / KinectFusion
  Re-implementation of the paper KinectFusion: Real-Time Dense Surface Mapping and Tracking
  ☆11Updated 4 years ago
• owensgroup / BGHT
  BGHT: High-performance static GPU hash tables.
  ☆66Updated 2 months ago
• ndd314 / cuda_examples
  ☆67Updated 11 years ago
• harrism / ranger
  Generate simple index ranges in C++ and CUDA C++
  ☆39Updated 2 years ago
• VcDevel / simd-kd-tree
  vectorization of the kd-tree data structure and search algorithm
  ☆41Updated 7 years ago
• cvg / raybender
  Fast CPU rendering in Python using the Intel® Embree backend
  ☆42Updated 7 months ago
• GPUPeople / ACSpGEMM
  Repository holding the code base to AC-SpGEMM : "Adaptive Sparse Matrix-Matrix Multiplication on the GPU"
  ☆28Updated 4 years ago
• jturney / levmar
  Levenberg-Marquardt nonlinear least squares algorithms in C/C++
  ☆22Updated last year
• AMDResearch / DAGEE
  Directed Acyclic Graph Execution Engine (DAGEE) is a C++ library that enables programmers to express computation and data movement, as ta…
  ☆46Updated 3 years ago
• krulis-martin / cuda-kmeans
  A novell, highly-optimized CUDA implementation of k-means algorithm.
  ☆35Updated 3 years ago
• poncateam / ponca
  Ponca (fomerly known as Patate) is a header only C++/CUDA library for point cloud analysis
  ☆35Updated last week