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编程语言

”kd-tree“ 的搜索结果

KdTree
@codeandcats

A fast, generic, multi-dimensional Binary Search Tree written in C#

C#257
5 年前

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KDTree
@crvs

Simple C++ KD-Tree implementation

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9 个月前
kdtree
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A Python implementation of a kd-tree

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kd-tree-javascript
@ubilabs

JavaScript k-d Tree Implementation

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nanoflann
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nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search with KD-trees

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@jtsiomb

A simple C library for working with KD-Trees

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pykdtree
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Fast kd-tree implementation in Python

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kd-tree
@gishi523

An implementation of k-d tree

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1 年前
kdTree
@benjones

C++ templated KD-Tree implementation

C++13
12 年前
Python-KD-Tree
@Vectorized

A simple and fast KD-tree for points in Python for kNN or nearest points. (damm short at just ~60 lines) No libraries needed.

Python176
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PixelVoronoi_KdTree
@diwi

Kd-Tree Nearest Neighbor Search using WebGL

JavaScript53
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tinspin-indexes
@tzaeschke

Spatial index library with R*Tree, STR-Tree, Quadtree, CritBit, KD-Tree, CoverTree and PH-Tree

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NN-Trees
@lijx10

Python implementation of Binary Search Tree, kd-tree for tree building, kNN search, fixed-radius search.

Python109
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kdtree2存档
@jmhodges

A kd-tree implementation in C++ (and Fortran) by Matthew B. Kennel

Fortran61
7 年前
ImageStitching
@AmazingZhen

A solution for images stitchinging based on Sift, kd-tree, RANSAC and Multi-band Blending.

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Supercluster.KDTree
@ericreg

An extremely fast, easy to use, KD-Tree optimized for machine learning and big-data applications.

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clj-kdtree
@abscondment

kd-trees in Clojure

Clojure57
9 年前
Yolov5-Processing
@Ranking666

Multi-backbone, Prune, Quantization, KD

PyTorchpruningBackbone.js
Python157
3 年前
DBSCAN-for-Matlab
@rharkes

using kd-trees

MATLAB12
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Knowledge-Distillation-Zoo
@AberHu

Pytorch implementation of various Knowledge Distillation (KD) methods.

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4 年前
sampling-based-planners
@medalotte

C++ implementation of RRT, RRT*, and Informed-RRT* using kd-tree for searching NN and NBHD nodes. Supports arbitrary dimensions and compiles as a shared library.

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4 年前
kd
@noelrohi

Ad-free Kdrama streaming app. Built with Nextjs, Drizzle ORM, NeonDB and shadcn-UI

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