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vectorized-operations

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Shirouky / lab6-Data-analysis

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Исследование производительности операций с данными и статистический анализ товаров бисера. Сравнение медленных и оптимизированных методов обработки данных, проверка статистических гипотез и выявление закономерностей.

python optimization pandas data-analysis code-optimization performance-benchmarking computational-efficiency vectorized-operations
  • Updated Nov 12, 2025
  • Python

tk-yasuno / markov-dqn-v08-c51

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C51 Distributional DQN (v0.8) for bridge fleet maintenance optimization. Implements categorical return distributions (Bellemare et al., PMLR 2017) with 300x speedup via vectorized projection. Combines Noisy Networks, Dueling DQN, Double DQN, PER, and n-step learning. Validated on 200-bridge fleet: +3,173 reward in 83 min (25k episodes).

reinforcement-learning deep-q-learning double-dqn dueling-dqn predictive-maintenance cbm prioritized-experience-replay noisy-networks large-scale-optimization structural-health-monitoring markov-decision-process distributional-rl prognostics-health-management bridge-maintenance disaster-resilience infrastructure-maintenance-management vectorized-operations infrastructure-resilience n-step-learning bridge-fleet
  • Updated Dec 8, 2025
  • Python

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