computational-efficiency

There are 0 repository under computational-efficiency topic.

hxz393 / BrutalityExtractor
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)
brute-force computational-efficiency data-processing decompression extractor high-performance optimization parallel-computing parallel-processing performance-optimization scalable brute-force-techniques performance-enhancement brute-force-decompression high-speed-decompression parallel-decompression parallel-optimization brute-force-attack efficient-compression-tool performance-testing
Language:Python 191
rfonod / deepsleep2
😴 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.
cnn deep-learning encoder-decoder multichannel physionet pytorch segmentation sleep-analysis time-series u-net computational-efficiency machine-learning medical-ai polysomnography sleep-apnea sleep-arousals convolutional-networks neural-networks
Language:Jupyter Notebook 17
bl33h / computerSimulation
Measure the time for large-scale operations and contribute to the exploration of computational efficiency.
computational-efficiency computer-simulation large-scale python
Language:Python 1
CodeByAidan / Cython-Tutorial
Boost Python's performance using Cython – a bridge between Python's simplicity and C's efficiency. Explore and learn how Cython accelerates code execution.
code-optimization computational-efficiency cython python python-performance c-integration
Language:Python 1
sudhan-bhattarai / 01Knapsack_Dynamic_Programming
Using Dynamic Programming (DP) method to optimize a 0/1 Knapsack Problem for Amazon shopping list.
computational-efficiency dynamic-programming knapsack01 optimization python recursive-algorithm
Language:Python 1
DamlaSerper / Switchable_Contact_Model-SCM
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.
discrete-element-method boundary-representation computational-efficiency switchable-contact-model porous-media
Language:C++ 0
simulation-science / simulation-science.github.io
Machine Learning Research to Advance Simulation Science
computational-efficiency deep-neural-networks gnns graph-neural-networks machine-learning physics-based-neuralnetwork physics-simulation reinforcement-learning research simulation partial-differential-equations hybrid-models meshes
Language:JavaScript 0

computational-efficiency

hxz393 / BrutalityExtractor

rfonod / deepsleep2

bl33h / computerSimulation

CodeByAidan / Cython-Tutorial

sudhan-bhattarai / 01Knapsack_Dynamic_Programming

DamlaSerper / Switchable_Contact_Model-SCM

simulation-science / simulation-science.github.io