python-kmedoids

Fast K-Medoids clustering in Python with FasterPAM

distance-metrics

Distance metrics are one of the most important parts of some machine learning algorithms, supervi...

QuickCluster

A KMeans implemented in C++ with Python bindings and GPU acceleration

lshknn

k nearest neighbor (KNN) graphs via Pearson correlation distance and local sensitive hashing (LSH).

Python-KD-Tree

A simple and fast KD-tree for points in Python for kNN or nearest points. (damm short at just ~60...

Financial-Knowledge-Graphs

小型金融知识图谱构建流程（neo4j / python / cypher / KG）

study-algorithm-design

Write code to study Algorithm Design

cvxpnpl

A Perspective-n-Points-and-Lines method.

IMPLEMENTATION-OF-THE-COMPONENT-WISE-PEAK-FINDING-ALGORITHM

dictances

Distances and divergences between distributions implemented in the best way I found in python.

k-means-constrained

K-Means clustering - constrained with minimum and maximum cluster size. Documentation: https://jo...

cupoch

Robotics with GPU computing

leetcode

🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 ...

scikit-spatial

Spatial objects and computations based on NumPy arrays.