Implementation of popular AI algorithms
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Updated
Jun 6, 2024 - Jupyter Notebook
Implementation of popular AI algorithms
This project is an AI project. I used the Hill-Climbing Search Algorithm by Python programming language to Locate Hospitals for Nearby Houses in any area.
hillclimbing attack on simple substitution ciphers
This consist codes like Artificial Neural Network, CNN, RNN, Activation function, Hill climbing and tower of Hanoi and various others. This will provide you a knowledge of Neural Networks, libraries like tensorflow, numpy, pandas, matplotlib, seaborn, pytorch, sci-kit learn etc
2-opt python library implemented in c
Genetic and Hill-Climbing Algorithms Implementation on the N-Queens problem using 5 queens on a 5x5 board
A java program that solves the n-queens puzzle using Hill Climbing and Random Restart algorithm in Artificial Intelligence.
University Course on AI in Python. Learn Different Algorithms Include DFS, BFS,UCS, A*, Hill Climbing and Many More.
Deep search, Best-first Greedy search, Hill Climb
Práctica de búsqueda local IA FIB-UPC (2023-24 otoño)
About It is a Hill Climb Racing Game Controller. The game runs as we move our hand in front of the Primary Camera.
Code used to obtain the results for my master thesis in computer sciences at ULB.
Research AI - Lecturer: Nguyen Thanh An
A hill-climbing algorithm is an Artificial Intelligence (AI) algorithm that increases in value continuously until it achieves a peak solution. This algorithm is used to optimize mathematical problems and in other real-life applications like marketing and job scheduling.
Enigma machine simulator + cipher breakers
CIT-316 (Artificial Intelligence Sessional)
🔚 2021-1st Introduction to AI lecture repository
In this algorithm, I have written a module which is consist of a couple of main searching algorithm that has been implemented on the 8 puzzle problem as default.
Extended N-Queen Problem with Hill Climbing and Simulated Annealing
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