Albert Z. Guo

Deep-Reinforcement-Stock-Trading. A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.

Law-and-Governance-of-AI. An exploration to enhance financial markets regulation through trading pattern detection algorithms for the U.S. stock markets

Web-Economics. Several application-based machine learning projects (Sponsored Search Auction, Spam Classifier, Real-time Ads Bidding Click-through Rate Estimation)

Natural-Language-Processing. Natural Language Processing Projects that include Golden Globes Awards Identification via Tweets with tasks to detect hosts, awards, winners, nominees, and awards presenters; and Recipe Transformer which parse a recipe from Allrecipes.com and transform the recipe to different styles.

Computational-Finance. Some C++ programming projects for pricing and risk managing financial instruments in equities, fixed income, and credit

Hierarchical-Attention-Networks-for-Document-Classification. A modern implementation of a 2016 NAACL paper Hierarchical Attention Networks for Document Classification

Coursera-Machine-Learning-Classification. Machine Learning: Classification, UCSD visa Coursera

ID3-Decision-Tree-Learning-Algorithm. Implementation of a variant of ID3 decision tree learning algorithm with recursive PostOrder reduced-error pruning and missing attributes handling

YOLOv3-in-PyTorch. A simple YOLOv3 pipeline for real-time object detection

Coursera-Machine-Learning. Machine Learning, Stanford via Coursera

Algorithms. Work on all kinds of algorithms, including sorting, randomized, graph search, greedy, dynamic programming, knapsack problem, traveling salesman problem, etc.

Artificial-Intelligence. Common classic algorithms in AI, including Forward-chaining algorithm in knowledge representation and reasoning; A*, minimax, alpha-beta pruning algorithms in informed search, and Bayes' Rule for inference

Statistical-Language-Modeling. Statistical Language Modeling Projects that include implementation of the classic paper A Neural Probabilistic Language Model by Yoshua Bengio and adaptation of Wojciech Zaremba's Recurrent Neural Network Regularization TensorFlow implementation for Number Token Perplexity Measurement

Data-Structures. Java Programming Projects

Deep-Reinforcement-Leverage-Trading. Deep Reinforcement Learning for Leverage Trading - An exploratory learning project that implements a built-in leverage mechanism combining RL with sentiment analysis and technical indicators