推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
Experiment execution and result management for empirical evaluations of algorithms in Python.
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.
Evidence-driven harness for open-ended algorithm optimization: trials, stress tests, budget gates, heuristic registry, and regression packs.
High-Performance Benchmarking Suite for Matrix Algorithms | Bachelor Thesis Project | Python, NumPy, Performance Engineering
Technical retrospective and source release for Team Smoop's OGC 2026 Grand Shipyard anytime solver
Exact shortest paths with negative edge weights (e.g. EV energy with regenerative braking) using Customizable Contraction Hierarchies — no Bellman–Ford, no potentials. Includes negative-cycle detection, live updates, a battery-constrained variant, baselines (Johnson, ALT, bidirectional A*), and DIMACS benchmarks. Pure Python.
To associate your repository with the algorithm-engineering topic, visit your repo's landing page and select "manage topics."