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)
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Nov 19, 2023 - Python
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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)
scalable optimization high-performance extractor parallel-computing decompression brute-force data-processing parallel-processing performance-testing performance-optimization brute-force-attack efficient-compression-tool computational-efficiency performance-enhancement brute-force-techniques parallel-decompression high-speed-decompression parallel-optimization brute-force-decompression
😴 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.
machine-learning deep-learning time-series cnn pytorch neural-networks segmentation convolutional-networks physionet multichannel encoder-decoder sleep-analysis u-net medical-ai polysomnography computational-efficiency sleep-apnea sleep-arousals
[RLC2025] - Official repository of "SPEQ: Offline Stabilization Phases for Efficient Q-Learning in High Update-To-Data Reinforcement Learning"
reinforcement-learning reinforcement-learning-algorithms rl computational-efficiency sample-efficient-rl
High-Efficiency AI Governance & Sustainable Computational Optimization Framework
▶ Advanced computer science problem sets from Harvard's CS50X, utilizing C, Python, and SQL to explore algorithmic fundamentals and web development.
Pattern-aware optimization framework achieving 93.8% complexity reduction in LLM generation with <1% overhead
python nlp research transformer pattern-recognition inference-optimization gpt2 computational-efficiency large-language-models llm
▶ Full-stack web development projects for Harvard's CS50W, utilizing Django, JavaScript, SQL, and CSS to architect scalable and interactive web applications.
▶ Comprehensive data structures and algorithms roadmap in Java, providing optimal architectural implementations for arrays, linked lists, queues, trees, and graphs.
Boost Python's performance using Cython – a bridge between Python's simplicity and C's efficiency. Explore and learn how Cython accelerates code execution.
《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.
topology low-power edge-ai computational-efficiency black-box-attack llms generative-ai model-jailbreak edge-ai-agents large-language-models-llms black-box-ai
Reduced Order Modeling of Transient Thermal Systems via Lumped Parameter Linear Superposition method
python matlab rom parameter-estimation heat-transfer sensitivity-analysis system-identification power-electronics digital-twin surrogate-models thermal-management reduced-order-models lumped-parameter-model computational-efficiency thermal-modeling thermal-network electronics-cooling thermal-rom
Measure the time for large-scale operations and contribute to the exploration of computational efficiency.
Open-source Python toolkit for evaluating tabular ML models across data efficiency, predictive performance, calibration, and computational cost.
python open-source benchmarking machine-learning model-calibration model-evaluation learning-curves computational-efficiency data-efficiency tabular-machine-learning tabular-foundation-models
▶ Scalable e-commerce backend architecture built with TypeScript, Node.js, and SQL, featuring secure JWT user authentication and RESTful order management APIs.
A production-ready website for a GenAI and Generalized Probabilistic Models (GPM) startup, showcasing next-generation AI architecture, computational efficiency, and scalable intelligence through an interactive, modern web experience.
javascript machine-learning typescript scalable quantum scalability postgresql artificial-intelligence gpm ai-research dimensionality model-optimizer computational-efficiency model-optimization generative-ai ai-architecture next-generation-ai generalized-probabilistic-models quantum-gpm
Frictionless Computing
information-theory computer-architecture computing computational-efficiency legacy-hardware software-optimization logic-compression algorithmic-equilibrium 486-processor
Real-time onboard computer vision for autonomous Parrot Bebop flight using Paparazzi UAS, obstacle avoidance, and CNN gate detection.
computer-vision robotics cnn obstacle-avoidance parrot-bebop paparazzi computational-efficiency micro-air-vehicle
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
Hierarchy-Exploiting Ensembles for Improved Multi-Class Classification
python benchmarking machine-learning automation deep-learning classification ensemble-learning openml multi-class-classification hierarchical-classification computational-efficiency class-hierarchy-generation hierarchy-exploitation
▶ Comparative benchmarking repository of fundamental sorting algorithms including Bubble, Selection, Quick, and Merge Sort in both Java and Python.
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