Topic: manhattan-distance Goto Github
Some thing interesting about manhattan-distance
Some thing interesting about manhattan-distance
manhattan-distance,Autoencoder dimensionality reduction, EMD-Manhattan metrics comparison and classifier based clustering on MNIST dataset
User: alexaapo
manhattan-distance,A sliding puzzle game and solver using ncurses.
User: allenfallen
manhattan-distance,A siamese adaptation of the Long Short-Term Memory (LSTM) network for labeled data comprised of pairs of variable-length sequences.
User: amanraj209
manhattan-distance,Classification of IRIS Dataset using various distance metrics.
User: anagha-sankar
manhattan-distance,Complete Java Approach
User: arajajyothibabu
manhattan-distance,Pacman diseñado con GUI minima para desarrollo de actividades de analisis de algoritmos (Dijkstra y A*)
User: aviles17
manhattan-distance,A console based packman game in C using A star algorithm.
User: cazad3011
manhattan-distance,This Java-based GUI program lets users generate and solve mazes. It employs the Depth-First Search (DFS) algorithm for maze generation and A* algorithm with Manhattan distance heuristic for solving. The program provides a visual representation of the maze, allowing users to visualize the process of maze creation and solving.
Organization: computer-science-classes
manhattan-distance,Maze is a mini project developed to generate a maze randomly and be capable to resolve it using A* algorithm and Manhattan or Pythagore heuristics.
User: denimamab
manhattan-distance,This course teaches you how to calculate distance metrics, form and identify clusters in a dataset, implement k-means clustering from scratch and analyze clustering performance by calculating the silhouette score
Organization: develop-packt
manhattan-distance,Python 3 library for Multi-Criteria Decision Analysis based on distance metrics, providing twenty different distance metrics.
User: energyinpython
manhattan-distance,Sliding Puzzle solver and utilities
User: entangledloops
Home Page: https://slidingtilepuzzle.readthedocs.io/en/latest/slidingpuzzle.html
manhattan-distance,Minimize Manhattan distance of points
User: gaowenliang
manhattan-distance,K-Means and Bisecting K-Means clustering algorithms implemented in Python 3.
User: gbroques
manhattan-distance,The N-puzzle is a sliding puzzle that consists of a frame of numbered square tiles in random order with one tile missing. The puzzle can be of any size, with the most common sizes being 3x3 and 4x4. The objective of the puzzle is to rearrange the tiles to form a specific pattern.
User: gigi-g
manhattan-distance,8-15Puzzle Solver A* (Manhattan Distance)
User: gustavosantoscs
manhattan-distance,🕹 Algoritmo que resolve o jogo dos oito por busca em profundidade(sem estados visitados), busca em largura(com estados visitados), busca gulosa(com estados visitados) e busca a*(com estados visitados). Podendo mostrar passo a passo das escolhas dos nós e mostrando a árvore resultante(até um certo limite ou completa) do método de busca selecionado.
User: joaomota59
manhattan-distance,C codes for the Arificial Intelligence Course and algorithms.
User: krishnadey30
manhattan-distance,A Keras Implementation of Attention_based Siamese Manhattan LSTM
User: lujunru
manhattan-distance,Taxicab metric on the sphere!
Organization: maasglobal
manhattan-distance,3 part project: A. bottleneck autoencoder, B. manhattan distance, C. earth mover's distance
User: mar-kan
manhattan-distance,An efficient Nearest Neighbor Classifier for the MINST dataset. It uses a VP Tree data structure for preprocessing, thus improving query time complexity
User: matakshay
manhattan-distance,Our experience in AB Inbev Brewing data cup 2020 for Mexico
User: mauriciomani
manhattan-distance,8-puzzle game that features a walkthrough of the optimal solution and allows users to customize the tiles using photos from their Gallery
User: memgonzales
Home Page: https://memgonzales.github.io/sliding-puzzle
manhattan-distance,Machine learning functions written in goLang:
User: mishrashivendra
manhattan-distance,Eight Puzzle solver using BFS, DFS & A* search algorithms
User: mohamadtarekk
manhattan-distance,Collection of Generic Data Structures and Algorithms in C.
User: moneebullah25
manhattan-distance,8-Puzzle solver implemented using search algorithms: DFS, BFS, A-Star (Manhattan and Euclidean heuristics) with GUI for user interactivity
User: mostafagalal1
manhattan-distance,KNN movie recommendation system using python 🎥✨
User: myriam2002
manhattan-distance,Digital Image Processing
User: omercevik
manhattan-distance,Classic n-puzzle problem solver using A* search
User: pavlosdais
manhattan-distance,A Java console application that implements the factionality of the knn algorithm to find the similarity between a new user with only a few non zero ratings of some locations, find the k nearest neighbors through similarity score and then predict the ratings of the new user for the non rated locations.
User: peteprattis
manhattan-distance,A Java console application that implements the factionality of the knn algorithm to find the similarity between a new user's location preferences and the locations. The binary data (0,1) are the location characteristics.
User: peteprattis
manhattan-distance,[WIP] This is an implementation of the A star search which uses Heuristic function to find the shortest path in C++.
User: raheemazeezabiodun
manhattan-distance,PHP based recommender system that can be used to predict values, find similar items or getting recommendations for user
User: rameezusmani
manhattan-distance,O projeto foi um trabalho acadêmico de Inteligência artificial, tem como objetivo solucionar o problema 8-Puzzle. Confira o vídeo demonstrativo.
User: renatoestecio
manhattan-distance,This python file solves 8 Puzzle using A* Search with Manhattan Distance
User: rohanpillai20
manhattan-distance,This repository is used for "Computer Vision and Pattern Recognition" course work.
User: shahriar-mahmud-toha
manhattan-distance,4x4 15 piece sliding puzzle solution using A* and IDA* algorithms (Python implementation)
User: shamo0
manhattan-distance,Introduction to Unsupervised Machine Learning, number of approaches to unsupervised learning such as K-means clustering, hierarchical agglomerative Clustering and its applications.
User: shubhamchouksey
manhattan-distance,C++ implementation of IDA* algorithm for solving the 15 and 25 puzzle
User: siddg97
manhattan-distance,A C++ implementation of N Puzzle problem using A Star Search with heuristics of Manhattan Distance, Hamming Distance & Linear Conflicts
User: subangkar
manhattan-distance,In this repository, I have implemented Machine Learning algorithms, not just by using predefined libraries, but also from scratch by uncovering the underlying math and applied them on datasets.
User: sush-coder
manhattan-distance,Solving Stage Puzzles: Text UI
User: tooo
manhattan-distance,graph search using A star search algorithm in python3
User: vipul43
manhattan-distance,Functions for generating Voronoi diagrams with alternate metrics.
User: warrenweckesser
manhattan-distance,Another implementation of the game 15 puzzle. But you can get a hint if you stuck.
User: woopzz
Home Page: https://woopzz.github.io/15puzzle/dist/index.html
manhattan-distance,Linkage Methods for Hierarchical Clustering
User: yasinakinn
Home Page: https://dmotw.shinyapps.io/dmotw/
manhattan-distance,8 Puzzle Solver Using Classical Search Algorithms: DFS | BFS | A*
User: youssefaboelwafa
manhattan-distance,Solution of 8 Puzzle Problem in Python using Informed Search
User: zohaib2002
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.