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A python implementation of the Quine McCluskey algorithm.
Quine McCluskey Algorithm
It is a repository containing an implementation of the famous Quine–McCluskey minterm minimization algorithm as a python script and also as an Android app.
Implimentation of Quine McCluskey in C. It slightly faster than the basic implimentation because I have used bit manipulations which comparing which terms can be combined etc. It can be run for any number of terms by changing the size in the struct and the N defined in the macro.
Python implementation of Quine McCluskey Method
A program which minimizes boolean algebra functions using the Quine-McCluskey algorithm.
Source code for the talk "Data Analysis in R" at the CS50 seminars in Harvard University.
Distributed Data Connector R package
Personalizing hotel search (ranking and sorting) for specific users of an Online Travel Agency (Expedia) using click-through data
R Implementation of FLAME and other algorithms in the AME framework
This repository contains some of my approaches to the famous Titanic survival prediction Problem from Kaggle. The repository includes scripts for feature selection, alternate strategies for data modelling, the original test & train data sets and the visualizations plots generated for the same. All code snippets are written in R.
The old version of the latent Dirichlet allocation package for R
R code for reading and writing files in libsvm format
Testing R memory usage with different malloc implementations - glibc malloc, jemalloc, tcmalloc
mechine learning,R
Introduction to R for non-programmers using gapminder data.
Creating Multiple Regression Model That Has Multicollinearity Features.
Rcpp interface to sparsepp - efficient hash map for C++
Misc Statistics and Machine Learning codes in R
Приложения к книге "Статистический анализ и визуализация данных с помощью R"
Dataset of homes in San Francisco and New York
Rapidly Converging Gibbs sampler
Convert RAR Alternate Data Streams to Files
An implementation of RaFM. Xiaoshuang Chen, Yin Zheng, Jiaxiang Wang, et al. "RaFM: Rank-Aware Factorization Machines"
Scalable RNA-seq analysis
Rainbow is all you need! Step-by-step tutorials from DQN to Rainbow
NLP framework for various natural language processing tasks including: supervised name entity recognition and relationship extraction.
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.