Alternatives and similar repositories for kdtree

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

• primetang / pyflann
  python bindings for FLANN - Fast Library for Approximate Nearest Neighbors.
  ☆126Updated 4 years ago
• Vectorized / Python-KD-Tree
  A simple and fast KD-tree for points in Python for kNN or nearest points. (damm short at just ~60 lines) No libraries needed.
  ☆178Updated last year
• kayzhu / LSHash
  A fast Python implementation of locality sensitive hashing.
  ☆670Updated 5 years ago
• siddheshk / Faster-Kmeans
  Code for a faster K-means clustering heuristic
  ☆122Updated 8 years ago
• sdeming / kdtree
  KDTree library
  ☆112Updated 15 years ago
• bmc / munkres
  Munkres algorithm for Python
  ☆229Updated 3 months ago
• mattnedrich / MeanShift_py
  Simple implementation of mean shift clustering in python
  ☆307Updated 3 years ago
• eyounx / ZOOpt
  A python package of Zeroth-Order Optimization (ZOOpt)
  ☆412Updated 3 years ago
• RSIA-LIESMARS-WHU / LSHBOX
  A c++ toolbox of locality-sensitive hashing (LSH), provides several popular LSH algorithms, also support python and matlab.
  ☆290Updated 8 years ago
• yarny / gbdt
  Gradient boosting decision trees.
  ☆364Updated 6 years ago
• enaeseth / python-fp-growth
  An implementation of the FP-growth algorithm in pure Python.
  ☆369Updated 3 years ago
• pthimon / clustering
  Library for performing spectral clustering in C++
  ☆79Updated 2 years ago
• wepe / dive-into-ml-system
  Dive into machine learning system, start from reinventing the wheel.
  ☆232Updated 7 years ago
• ajtulloch / svmpy
  Basic soft-margin kernel SVM implementation in Python
  ☆260Updated 9 years ago
• hansenrl / trajectory
  Trajectory Outlier Detection Library
  ☆37Updated 11 years ago
• wepe / tgboost
  Tiny Gradient Boosting Tree
  ☆321Updated 6 years ago
• formath / tensorflow-predictor-cpp
  tensorflow prediction using c++ api
  ☆150Updated 5 years ago
• JustFollowUs / Reinforcement-Learning
  ☆213Updated 8 years ago
• MorvanZhou / npnet
  Build neural networks based only on Numpy
  ☆171Updated 2 years ago
• dlsys-course / dlsys-course.github.io
  Deep learning system course
  ☆213Updated 6 years ago
• ZJULearning / efanna
  fast library for ANN search and KNN graph construction
  ☆297Updated 7 years ago
• serban / kmeans
  A CUDA implementation of the k-means clustering algorithm
  ☆253Updated 13 years ago
• GGiecold-zz / DBSCAN_multiplex
  A fast and efficient implementation of DBSCAN clustering.
  ☆53Updated 8 years ago
• ppham27 / MLaPP-solutions
  Solutions in Python for Kevin Murphy's Machine Learning: a Probabilistic Perspective
  ☆53Updated 8 years ago
• hschen0712 / machine-learning-notes
  机器学习笔记
  ☆147Updated 7 years ago
• bjoern-andres / random-forest
  Randomized Decision Trees: A Fast C++ Implementation of Random Forests.
  ☆179Updated 5 years ago
• jtsiomb / kdtree
  A simple C library for working with KD-Trees
  ☆406Updated 4 years ago
• timvieira / crf
  Simple implementation of Conditional Random Fields (CRF) in Python. A faster, more powerful, Cython implementation is available in the v…
  ☆344Updated 4 years ago
• zakheav / automatic-differentiation-framework
  an automatic differentiation framework with dynamic graph/支持动态图的自动求导框架
  ☆100Updated 5 years ago
• chrischoy / knn_cuda
  Fast K-Nearest Neighbor search with GPU
  ☆142Updated 8 years ago