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推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
machine-learning deep-learning tensorflow recommender-system interview-questions recommendation-algorithms algorithm-engineering tianchi-competition
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.
cpp graph graph-algorithms graphs partitioning-algorithms evolutionary-algorithms partitioning hypergraph-partitioning algorithm-engineering graph-partitioning hypergraph hypergraphs papers-with-code
KaHIP -- HIGH Quality Partitioning.
python algorithms cpp graph load-balancer partitioning-algorithms sharding partitioning evolutionary-algorithm algorithm-engineering graph-partitioning process-mapping edge-partitioning-algorithms
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.
graph-algorithms graphs parallel-computing partitioning-algorithms high-performance-computing partitioning shared-memory tbb hypergraph-partitioning algorithm-engineering graph-partitioning hypergraph hypergraphs
Agentic Algorithm Engineering
Exercises for the Algorithm Engineering (ALE) course at University of Pisa
Karlsruhe Rapid Ride-Pooling (KaRRi) Dynamic Ride-Pooling Dispatcher.
public-transportation maas algorithm-engineering taxi public-transport darp dial-a-ride public-transit taxi-sharing routing-algorithms future-mobility ride-pooling
A list of all publications related to the KaHyPar frameworks.
publications papers research-paper hypergraph-partitioning algorithm-engineering graph-partitioning papers-with-code
Dynamic Matching in Practice — fully dynamic maximal matching algorithms
Buffered Streaming Graph Partitioning
streaming cpp graph-algorithms algorithm-engineering graph-partitioning kahip streaming-algorithm multilevel-algorithm edge-partitioning buffered-streaming
Experiment execution and result management for empirical evaluations of algorithms in Python.
Material for the AlgLab (Winter 2024/2025) @ TU Braunschweig
A scalable Python framework that transforms algorithm practice into a data-driven, testable, and high-performance workflow—built to help developers grow faster and understand algorithms more deeply.
stress-testing algorithm-engineering performance-benchmarking data-driven-testing vscode-integration random-test-generation judge-function algorithm-debugging scalable-workflows competitive-programming-tools algorithm-insights leetcode-framework python-testing-framework
StreamCPI is a framework for reducing the memory consumption of streaming graph partitioners by compressing the array of block assignments used by such partitioners with run-length compression.
streaming compression cpp graph-algorithms run-length-encoding memory-efficient algorithm-engineering graph-partitioning kahip streaming-algorithm
Fully dynamic exact and heuristic algorithms for edge orientation (delta-orientation)
algorithm graph dynamic algorithm-engineering edge-orientation delta-orientation dynamic-graph-algorithms
Exact minimum cuts in hypergraphs at scale using FPT kernelization
graph-algorithms data-reduction algorithm-engineering hypergraph fpt minimum-cut exact-algorithms kernelization kahip
Fully dynamic solver for the Maximum (Weight) Independent Set problem
algorithm graph dynamic maximum-independent-set algorithm-engineering independent-set dynamic-graph-algorithms
Collection of our hypergraph partitioning experiments
Streaming Process Mapping
cpp graph-algorithms openmp shared-memory algorithm-engineering graph-partitioning process-mapping kahip streaming-algorithm hierarchical-partitioning
Automated rooftop solar panel placement system combining computer vision, grid-based modeling, and search/optimization algorithms.
computer-vision path-planning algorithm-engineering solar-energy smart-infrastructure rooftop-solar energy-ai grid-based-optimization
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