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#

algorithm-optimization

Here are 40 public repositories matching this topic...

SchedMaster lies in its hybrid approach - combining classical scheduling algorithms with optimization techniques like Greedy Algorithms, Dynamic Programming, and Backtracking. Additionally, it leverages simple ML models to predict process behavior, detect anomalies in resource usage, and recommend the most suitable scheduling strategies.

  • Updated May 3, 2025
  • Python

Python project implementing Nearest Neighbor and Skyline Query Search algorithms with R-tree data structures for efficient spatial indexing. Part of COMP6210 group project at Macquarie University.

  • Updated Nov 10, 2024
  • Python

πŸ€– Enhance recommendations with OneRec-Think, a framework that combines dialogue, reasoning, and personalization for precise and engaging user experiences.

  • Updated Dec 15, 2025
  • Python

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