Check out my Github for publicly available code. Below are some selected items put together during my PhD and undergraduate study.
- Deep Reinforcement Learning
- Deep Double Q-learning (DDQN) with Prioritized Experience Replay
- Deep Double Q-learning (DDQN)
- Deep Q-learning (DQN)
- Code here :)
- Reinforcement Learning
- Value Iteration for Gridworld Environment: *Jupyter Notebook
- Directed Acyclic Graph Structure Learning
- K2 Algorithm: *Github Repository
- Transfer Entropy on Dynamical Systems
- Cellular Automata: *Jupyter Notebook
- Forecasting Shoreline position
- Determining Method of Interpolation: *Jupyter Notebook
- Profile 1: *Jupyter Notebook
- Powerful Yelp Api optimization package for accessing data with ease
- Restaurant Information: *Github Repository
- Why we need quantum computers. Prime factorization example