Features selector based on the self selected-algorithm, loss function and validation method

This repository contains implementation of different AI algorithms, based on the 4th edition of amazing AI Book, Artificial Intelligence A Modern Approach

PyTorch implementation for Seq2Seq model with attention and Greedy Search / Beam Search for neural machine translation

CSE 571 Artificial Intelligence

Common problems of dynamic programming methods and techniques, including prerequisites, for competitive programmers.

BFS, IDS, Greedy & A* applied to the 8-puzzle problem. ⚙️

This is an educational repository containing implementation of some search algorithms in Artificial Intelligence.

A web app to help visualizing typical graph searching algorithms

Visualization for multiple searching algorithms.

A fine-tuned visual implementation of Informed and Uninformed Search Algorithms such as Breadth First Search, Depth First Search, Uniform Cost Search, A* Search, Greedy First Search

N-Puzzle implementation with BFS, DFS, Greedy and A*

Sliding Puzzle solver and utilities

AI maze solving agent to find the shortest path using searching algorithms

MATLAB implementation of Orthogonal Matching Pursuit to find the sparsest solution to a linear system of equations, via combinatorial search.

This application helps you find the nearset path from one node to another based on node coordinates, link lengths or nodes weight.

Repositorio sobre los algoritmos devoradores. Se presentará un esquema general, descripición, elementos que lo componen y ejemplos.

Risk game is an AI project where I apply 4 different AI search agents (Greedy search, A* search,real time A* and minimax) and 4 non AI agents (Human agent,aggressive agent,passive agent and nearly pacifist agent) I implemented this project using GUI and OOP in java

Solves puzzles of various sizes