computational-efficiency

适用于高性能系统的多进程解压缩软件(A multiprocess decompression software for high-performance system)

😴 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.

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

▶ Advanced computer science problem sets from Harvard's CS50X, utilizing C, Python, and SQL to explore algorithmic fundamentals and web development.

▶ Full-stack web development projects for Harvard's CS50W, utilizing Django, JavaScript, SQL, and CSS to architect scalable and interactive web applications.

Pattern-aware optimization framework achieving 93.8% complexity reduction in LLM generation with <1% overhead

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

▶ Comprehensive data structures and algorithms roadmap in Java, providing optimal architectural implementations for arrays, linked lists, queues, trees, and graphs.

《拓扑生成范式：算力革命与黑箱破解》针对现有AI拟合路线算力爆炸、黑箱不可解释、沙箱越狱问题，提出低维骨架+表层填充的范式迁移，可大幅降低算力，实现生成过程可追溯可控。Topology‑Generating Paradigm: skeleton‑fill two‑layer forward‑generation framework. Solve AI black‑box, jailbreak and computing‑power explosion problems. Reduce computational cost by orders of magnitude, interpretable & traceable generation.

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

▶ Scalable e-commerce backend architecture built with TypeScript, Node.js, and SQL, featuring secure JWT user authentication and RESTful order management APIs.

Split a single neural network into multiple smaller networks using weight splitting.

▶ Comprehensive Python implementations for Harvard's CS50P, covering standard library integrations, unit testing frameworks, and advanced OOP concepts.

Hierarchy-Exploiting Ensembles for Improved Multi-Class Classification

▶ Comparative benchmarking repository of fundamental sorting algorithms including Bubble, Selection, Quick, and Merge Sort in both Java and Python.

Frictionless Computing

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

Machine Learning Research to Advance Simulation Science

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.

▶ Real-time disaster response coordination platform combining AI/ML algorithms, geospatial APIs, and NLP-based SOS detection for emergency routing.