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#

computational-efficiency

Here are 13 public repositories matching this topic...

😴 DeepSleep2 is a compact U-Net-inspired convolutional neural network with 740,551 parameters, designed to predict non-apnea sleep arousals from full-length multi-channel polysomnographic recordings at 5-millisecond resolution. Achieves similar performance to DeepSleep with lower computational cost.

  • UpdatedAug 30, 2025
  • Jupyter Notebook

[RLC2025] - Official repository of "SPEQ: Offline Stabilization Phases for Efficient Q-Learning in High Update-To-Data Reinforcement Learning"

  • UpdatedJul 16, 2025
  • Python

Boost Python's performance using Cython – a bridge between Python's simplicity and C's efficiency. Explore and learn how Cython accelerates code execution.

  • UpdatedNov 20, 2025
  • Python

Measure the time for large-scale operations and contribute to the exploration of computational efficiency.

  • UpdatedNov 28, 2023
  • Python

A novel Transformer with Adaptive Computation and Quantized Attention.

  • UpdatedAug 6, 2025
  • Python

A responsive intent recognition framework with recursive optimization that achieves high accuracy with minimal computational resources through mathematical optimization.

  • UpdatedMay 12, 2025
  • TeX

Switchable Contact Model (SCM) modification of LIGGGHTS-PFM code to represent complex porous boundaries and improved primitive geometry functions for fix wall/gran function. SCM enables the representation of repetitive porous structures without the use of meshing owing to the new primitive wall definitions ycylinder/plane_cinite_porous.

  • UpdatedJun 11, 2024
  • C++

エビデンスに基づくモデル選択:線形モデルが勾配ブースティング決定木を上回る状況とその理由

  • UpdatedAug 23, 2025
  • Python

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

  • UpdatedNov 12, 2025
  • Python

🎵 A Python-based content recommendation system utilizing ML algorithms and matrix factorization techniques to analyze 600k-song dataset. Combines SVD, NMF, Factorization Machines, and Direct Similarity for personalized music suggestions. Handles cold start, optimizes with weighted similarity, and includes tools for visualization & evaluation.

  • UpdatedMay 10, 2025
  • Jupyter Notebook

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