推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/
KaHyPar (Karlsruhe Hypergraph Partitioning) is a multilevel hypergraph partitioning framework providing direct k-way and recursive bisection based partitioning algorithms that compute solutions of very high quality.
KaHIP -- Karlsruhe HIGH Quality Partitioning.
Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel graph and hypergraph partitioner equipped with parallel implementations of techniques used in the best sequential partitioning algorithms. Mt-KaHyPar can partition extremely large hypergraphs very fast and with high quality.
开放知识社群。包含:计算机与人工智能基础概念、数据结构与算法、算法工程、全栈开发等体系化的学习笔记。持续更新中,欢迎参与贡献~
Exercises for the Algorithm Engineering (ALE) course at University of Pisa
Karlsruhe Rapid Ridesharing (KaRRi) Dynamic Taxi Sharing Dispatcher.
A list of all publications related to the KaHyPar frameworks.
Material for the AlgLab (Winter 2024/2025) @ TU Braunschweig
Experiment execution and result management for empirical evaluations of algorithms in Python.
Collection of our hypergraph partitioning experiments
Secretly a Master's Thesis
Graph Coloring implementation based on XRLF algorithm
Research and develop quantum computing algorithm engines to output models that process vast amounts of scientific data at unprecedented speeds.
Repo for Algorithm Engineering Projects Team: Suffering IRL
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