ast97 Goto Github PK
Name: Astha
Type: User
Location: Vellore
Name: Astha
Type: User
Location: Vellore
Predicting if patient lies in autism spectrum
Diabetes dataset Machine Learning Models
Farmer Portal
Fast and Lightweight Log processor and forwarder for Linux, BSD and OSX
Fluent Bit Kubernetes Daemonset
Minesweeper, TicTacToe, Snake, etc
The traveling salesman problem (TSP) is one of the most significant, though very hard, combinatorial optimization problem. It is the fundamental problem in the fields of computer science, engineering, operations research, discrete mathematics, graph theory, and so forth. TSP can be described as the minimization of the total distance traveled by touring all cities exactly once and return to depot city. The problem: βGiven a list of cities and the distances between each pair of cities, what is the shortest possible route that visits each city and returns to the origin city?β Thus, if there are 10 cities to be visited, and because once a city has been visited that city is not eligible to be travelled to again, the size of the search space stands as 10! (3628800) possible permutations. This is the reason to say TSP is NP-hard problem. The search space for Traveling Salesman problem involves every possible permutation of routes that visit each city once. Overall, considering the total size of the search space of TSP, the genetic algorithm serves well in finding a maximal approximation of the problem. This project will use to solve the TSP using the Genetic Algorithm. Genetic algorithms are evolutionary techniques used for optimization purposes according to survival of the fittest idea. These methods do not ensure optimal solutions; however, they give good approximation usually in time. The genetic algorithms can give near optimal solutions for NP-hard problems like TSP. The algorithm will be hard coded in Java. Since Java cannot render the solution graphically or visually, MATLAB will be used to gain the near optimal solution visually for the problem.
Housekeeping app with python-flask API
The famous classic Windows game Minesweeper with simple js and jquery
Classify songs into respective genres by machine learning models
Book recommendation system using NLP for dataset created through goodreads api
Natural Language Processing in TensorFlow week 4 exercise : LSTM exercise
The TicTacToe game
Timesheet-like app based on flask
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.