There are no reviews yet. Be the first to send feedback to the community and the maintainers!
perspolis
otp-shinobi
This is an OTP authentication package for Golanglemekar
ehsan-a-kian
trafficLights
TRAFFIC LIGHT WITH PROTEUS & CODEVISION SIMULATIONsimpleInstagram
the-board-of-the-world
The Board of the World is a web application that users can write anything on itfirebex
Firebex is an Iranian company that operates a cryptocurrency platformehsan-a-kian.github.io
simple_chat
simple chat room in phppafi
Iranian Movie Databasequiz
algos
Implemented Algorithms using Pythonmarketplace
cinervice
algoGo
Here I implement and share algorithms and programming problems in Go languagedataStructures
data structures and algorithms in c++apriori
Apriori is an algorithm for frequent item set mining and association rule learning over transactional databases. It proceeds by identifying the frequent individual items in the database and extending them to larger and larger item sets as long as those item sets appear sufficiently often in the database. The frequent item sets determined by Apriori can be used to determine association rules which highlight general trends in the database: this has applications in domains such as market basket analysis.british-council-grammar-pwa
LearnEnglish Grammar is a free grammar practice app designed to help improve English grammar accuracy. The app offers 1000s of questions to help practise and reinforce your English grammar skills.8queens
The N Queen is the problem of placing N chess queens on an N×N chessboard so that no two queens attack each other. For example, following is a solution for 4 Queen problem. The expected output is a binary matrix which has 1s for the blocks where queens are placed.A_star
In computer science, A* (pronounced as "A star") is a computer algorithm that is widely used in pathfinding and graph traversal, which is the process of plotting an efficiently directed path between multiple points, called "nodes". It enjoys widespread use due to its performance and accuracy. However, in practical travel-routing systems, it is generally outperformed by algorithms which can pre-process the graph to attain better performance,[1] although other work has found A* to be superior to other approaches.[2] Peter Hart, Nils Nilsson and Bertram Raphael of Stanford Research Institute (now SRI International) first published the algorithm in 1968.[3] It is an extension of Edsger Dijkstra's 1959 algorithm. A* achieves better performance by using heuristics to guide its search.greedy
A greedy algorithm is an algorithmic paradigm that follows the problem solving heuristic of making the locally optimal choice at each stage[1] with the intent of finding a global optimum. In many problems, a greedy strategy does not usually produce an optimal solution, but nonetheless a greedy heuristic may yield locally optimal solutions that approximate a globally optimal solution in a reasonable amount of time. For example, a greedy strategy for the traveling salesman problem (which is of a high computational complexity) is the following heuristic: "At each step of the journey, visit the nearest unvisited city." This heuristic doesn't intend to find a best solution, but it terminates in a reasonable number of steps; finding an optimal solution to such a complex problem typically requires unreasonably many steps. In mathematical optimization, greedy algorithms solve combinatorial problems having the properties of matroids.Love Open Source and this site? Check out how you can help us