riteshcanfly Goto Github PK

codo

Over the last decades, a lot of research has been carried out to bring forward many nature-inspired, optimization techniques. The behaviour pattern of natural phenomena such as evolution of species, working of neural networks etc. has been effectively simulated to perform various computing tasks. SitoLIB is an open source library for human opinion formation based optimizer. It includes social impact theory based optimizer (SITO) and Durkheim's theory of social integration based optimizer(CODO). The goal is to develop an easy to understand, general-purpose software library which can be incorporated in application-specific systems. The present version of library includes the binary version and continuous(real-valued) version of the optimizer. Our binary implementation is based on theory of social impact given by [Latane, 1981] and pseudo code of the optimizer given by [Macas, 2008]. The continuous implementation referred as Continuous Opinion Dynamics Optimizer (CODO) is based on Durkheim's theory of social integration[Durkheim,1997] and pseudo code of the optimizer given by [Rishemjit, 2013]. So far, one variant of CODO and three different variants of SITO are implemented in the library for minimization of objection function which includes • OSITO (original SITO algorithm), • SSITOsum (Simplified SITO with SUM rule), SSITOmean Simplified SITO with MEAN rule) and • GSITO (Galam-inspired SITO). These variants have been effectively brought into use in different applications such as feature subset selection using UCI machine learning repository datasets [Macas, 2007], itongue optimization [Bhondekar, 2011], and enhancing e-nose performance [R. Kaur, 2012]. CODO has been used for optimization of complex mathematical functions[R. Kaur, 2013]

covid19-jaisalmer

This is the data analysis software for Jaisalmer camp

folder-structure-conventions

Folder / directory structure options and naming conventions for software projects

ganymed-ssh-2

Automatically exported from code.google.com/p/ganymed-ssh-2

gccr_slack_analysis

Analysis of slack data_GCCR

greedyfeatureselection

greedy feature selection based on ROC AUC

hemopi

HemoPI is an in silico method to predict hemolytic property of peptide. It also allows users to design better therapeutic peptide analog with desirable hemolytic potencies

hometestsmelltaste-analysis

This repo is for analysis of the data and figures of the survey conducted in India

interiorai

AI for interior design

jqr-rw

Automatically exported from code.google.com/p/jqr-rw

markdown-content

Markdown content for the www.aerobatic.io website

odor-pair

Predicting molecular level properties from pairs of aroma-chemicals.

openpom

Replication of the Principal Odor Map paper by Lee et al (2022). The model is implemented such that it integrates with DeepChem

python-ai-examples

rangoleearn

Learn Django

rdkit-orig

Older clone of the RDKit subversion repository at http://sourceforge.net/projects/rdkit/

social-etiquette

Analysis of the survey data

unmixing_odor

This repo is about understanding essential oil and how to unmix it