Yugesh

a terminal based SLR Parser using LR0 items, and closure, look ahead, goto, follow sets and canonical collection computation.

No project description available.

a heterogeneous q-learning approach to reinforcement learning for turn-based multi-agent heterogenous competitive environment.

a semantic segmentation model built with U-Net architecture implemented in PyTorch, that achieves above an 80% accuracy in identifying and segmenting glacial lakes from satellite imagery.

a collection of labworks for computer graphics course using OpenGL and Python.

a state space visualizer for DFS, BFS, IDS, A* search algorithms for classic games: 8 puzzle game and Cannibal and Missionaries.