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.

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

Using Dynamic Programming (DP) method to optimize a 0/1 Knapsack Problem for Amazon shopping list.

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

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

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.

🎵 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.