riteshcanfly Goto Github PK
Name: Ritesh Kumar
Type: User
Company: CSIR-CSIO
Bio: Principal Scientist, CSIR-CSIO Chandigarh India. Knows a bit about ML and stuff. Newton International Fellow
Location: Chandigarh
Name: Ritesh Kumar
Type: User
Company: CSIR-CSIO
Bio: Principal Scientist, CSIR-CSIO Chandigarh India. Knows a bit about ML and stuff. Newton International Fellow
Location: Chandigarh
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]
This is the data analysis software for Jaisalmer camp
Folder / directory structure options and naming conventions for software projects
Automatically exported from code.google.com/p/ganymed-ssh-2
Analysis of slack data_GCCR
greedy feature selection based on ROC AUC
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
This repo is for analysis of the data and figures of the survey conducted in India
AI for interior design
Automatically exported from code.google.com/p/jqr-rw
Markdown content for the www.aerobatic.io website
Predicting molecular level properties from pairs of aroma-chemicals.
Replication of the Principal Odor Map paper by Lee et al (2022). The model is implemented such that it integrates with DeepChem
Learn Django
Older clone of the RDKit subversion repository at http://sourceforge.net/projects/rdkit/
Analysis of the survey data
This repo is about understanding essential oil and how to unmix it
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.