Artificial-Intelligence-CE417

Artificial Intelligence Course Projects, More information about the course is available here

Fall 2022

1. Local Search algorithms:

   • Using Genetic Algorithms for Subset Sum Problem
   • Using Simulated Annealing for Subset Sum Problem

2. A* Search algorithm:

   • Using A* Search algorithm for transforming graphs by swapping their nodes

3. Continuous_Optimization:

   • Using different optimization techniques (GD, SGD, SGD with momentum)

4. CSP:

   • CSP (Case Study: Solving Golomb Ruler Problem)

5. Adversarial Search:

   • Minimax for the "Connect 4" Game with alpha beta prunning

6. BayesNet and HMMs:

   • My Implemenation of D Seperation Algorithm
   • My Implementaion of Forward Algorithm in Hidden Markov Models
   • Inference in Bayes Nets and Different Sampling Methods (Gibbs, Likelihood, Prior, Rejection)

7. Regression and Decision Trees

   • Implementing Linear Regression and Solving using both Direct Method and GD
   • Implementing Decision Trees from scratch

8. Neural Networks

   • Implementing a Denoising Autoencoder and a Variational Autoencoder for rotated images in MNIST dataset
   • Classifying sign language images (ASL dataset) using CNN characterchures

9. reinforcement learning :

   • Q learning for Tic Tac Toe