GitHub topics: parameter-optimization
Core-Bioinformatics/ClustAssess
Tools for assessing clustering robustness
Language: R - Size: 56.8 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 24 - Forks: 4
Prathameshv07/AlyaAloft
A sophisticated PDF document analysis and question-answering application that leverages advanced AI models to provide detailed responses to user queries about PDF documents.
Language: Python - Size: 39.1 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0
skaraoglu/UKF-CoupledOscillatorModel-fMRI
Unscented Kalman Filter (UKF), to enhance modeling and understanding of neural dynamics from fMRI data using Coupled Oscillator Model.
Language: Jupyter Notebook - Size: 3.24 MB - Last synced at: 30 days ago - Pushed at: 30 days ago - Stars: 0 - Forks: 0
iitimii/Neural-Networks-Learning-Without-Gradient-Descent
Exploring non-gradient-based learning techniques for training neural networks, using brute force parameter search and optimization methods. Includes comparison with gradient-based learning.
Language: Jupyter Notebook - Size: 500 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0
eflows4hpc/dislib-block-size-estimation
This repository contains the modules implementing a Machine Learning-based solution for optimizing the execution of dislib algorithms. In particular, a stacked classification model is leveraged to predict the most suitable value of the block-size parameter for the execution of dislib algorithms.
Language: Python - Size: 28.3 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1
