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clustering-by-fast-search-and-find-of-density-peaks

cpp code for implementation of density peak based clustering

colormap-shaders

A collection of shaders to draw color maps.

compactnsearch

A C++ library to compute neighborhood information for point clouds within a fixed radius. Suitable for many applications, e.g. neighborhood search for SPH fluid simulations.

compute

A C++ GPU Computing Library for OpenCL

computree-v3

Computree core

concaveman-cpp

C++ port of mapbox's JS concaveman, with a Python wrapper

concurrency_in_action_study

<<c++并发编程实战>>书里demo

concurrentqueue

A fast multi-producer, multi-consumer lock-free concurrent queue for C++11

constrainttriangles

插入法实现外包约束三角网

cpp-concurrency-in-action-2ed-2019

:book: 作为对《C++ Concurrency in Action - SECOND EDITION》的中文翻译。

cpu_voxel_raycaster

Very barebones CPU Voxel Raycaster

csf-separationofgroundpoints

csm

The C(canonical) Scan Matcher

csv_pcd_convertor

Convert sydney urban object dataset (.csv file) to .pcd file for PCL

cubature

multi-dimensional adaptive integration (cubature) in C

cuda-by-example-source-code-for-the-book-s-examples-

CUDA by Example, written by two senior members of the CUDA software platform team, shows programmers how to employ this new technology. The authors introduce each area of CUDA development through working examples.

cuda-gmm-mpi

CUDA implementation of data clustering using expectation maximization with a Gaussian mixture model. Supports multiple GPUs on a single node and MPI communication between multple nodes.

cuda-gmm-multigpu

CUDA implementation of data clustering using expectation maximization with a Gaussian mixture model. Supports multiple GPUs on a single node.

cuda-kd-tree

cuda-pcl

A project demonstrating how to use the libs of CUDA-PCL.

cunsearch

A C++/CUDA library to efficiently compute neighborhood information on the GPU for 3D point clouds within a fixed radius.

curve-fitting

czyblog

dbscan

Pretty fast DBSCAN C++ Boost OpenMP implementation

dbscan-kdtree-cuda

:fries: Massively parallel DBSCAN algorithm implemented in CUDA along with a KD-Tree for searching neighbors.

dbscan-pcl-optimized

DBScan algorithm using Octrees to cluster 3D points in a space with PCL Library

dce-algorithm

Matlab script computing distance-to-canopy-edge and related canopy parameters based on a binary canopy raster

deeplearning

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplidar

LIDAR and RGB Deep Learning Model for Individual Tree Segmentation