cs221

AI Agent for Chinese Chess - CS 221 Project

The project focuses on sequence labeling for Vietnamese text using three classical and neural approaches: Hidden Markov Model (HMM), Conditional Random Fields (CRF), and BiLSTM-CRF.

Solutions to the 2021-2022 offering of the course

Optimal Local Basis: A Reinforcement Learning Approach for Gender and Age Classification

Train a Minecraft agent to maximize distinct biomes visited in a 10-minute budget — linear-Q reinforcement learning vs. random/frontier baselines with an offline max-coverage oracle as the upper bound (Stanford CS221).

Code for CS221 Course Project working with PCN and ShapeNet data

Tool for CS221: Natural Language Processing. A gift for all of you. Good luck 🍻

Knowledge base for Stanford CS221, Artificial Intelligence: Principles and Techniques (Autumn 2025) — lectures 1-4 of 20: transcripts, executable-lecture transcriptions, and a wiki of the learning foundations.

This is our project for Natural Language Processing course (CS221). This project mainly focused on the comparison between models and preprocessing methods