Alfred LUO's Projects
Year 3 SemB CS4386 AI Game programming HW2: Implement alpha-beta pruning minmax algorithm with self-designed heuristic evaluation function for both player(Wolves and sheep)to play Wolf eats Sheep Game.
Constrained Levy Exploration (CLE) generates a scanpath computing eye movements as Levy flight on a saliency map.
Year2 SemA CS2312 Individual Project(A+): Good Object-Oriented Programming Practice to realize a item loan system
Year3 Sem A: A CLI Program aims to provide the reservation of tables, ordering of the dishes, and table arrangement for a food court!
Year3 SemB CS4386 HW1: Implement Monte Carlo Tree Search algorithm with self-designed evaluation function for a chess game which is played by two players on a 6x6 board.
CS4486 HW3(With Teammate): Implemented CNN to predict the labels of dermoscopic images among eight diagnostic categories. And applied data augmentation techniques(Random Horizontal Flip,Random Vertical Flip,Random Affine,Random Rotate) and other boosting techniques(Mix-Up,Additive SoftMax Margin, Ensemble) to improve the classification accuracy
Year 3 SemB CS3481 Decision Tree Analysis Assignment: implement a predictive modeling approach for Vertebral Column dataset based on the decision tree, and analysis the decision tree.
Eclipse JUnit5 Testing Practice for CS3343 and CS3346
Year 3 SemesterB CS4486 HW1: Implement Iterative A Star(IDA*) Algorithm for path finding, reimplement A* algorithm for finding the path traversing multiple points, and utilized different heuristic functions for the project in the repository forked from udacity/FCND-Motion-Planning
Final Year Project Try-Out Codes
👋 Aligning Human & Machine Vision using explainability
Year 3 SemB CS3481 Hierachical Clustering and K-mean Clustering Analysis Assignment: implement clustering approach for Vertebral Column dataset based on the Hierachical Clustering and K-mean Clustering, and perform analysis and comparison with these two kinds of clustering approach.
CS4480 Data Intensive Computing Group Project: Parallel Computing on Bike Sharing Demand Dataset
self learning stuffs for pytorch
Year 3 SemB CS3481 Random Forest and Naive Bayes Classifier Analysis Assignment: implement a predictive modeling approach for Vertebral Column dataset based on the random forest classifier and gaussian naive bayes classifier, and perform analysis and comparison with this two models.
Learning