yuzhang49

Advanced-Renewable-Sources

This repository contains the lecture slides of ECE180j at UC Santa Cruz

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-nilm

A curated resources of awesome NILM resources

Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

high-dim-ridge

The optimal ridge penalty for real-world high-dimensional data can be zero or negative due to the implicit ridge regularization

hybrid-rl-mpc4clr

Information_Theory

This repository contains all lecture slides for ECE253/CSE208 at UC Santa Cruz

Publication_Slides

This repository has the presentation slides of Dr. Yu Zhang's papers.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

yuzhang49/midnight

GitHub Pages Theme: Midnight

yuzhang49/tensorflow

Computation using data flow graphs for scalable machine learning

yuzhang49/SmartGrid-Simulation

A large and complex MSc Java project (awarded a mark of 80%) that simulates the interactions between Households and Aggregators in a SmartGrid network (including the associated security concerns). I was responsible for all of the code below (namely the core system framework code) with the exception of a few files (clearly marked with @author JDoc annotations, and included in this repo for completeness). The code uses a plethora of Design Patterns such as Singleton, Observer, and Command (to mimic higher-order functions). During the simulation a random set of Households with multiple Appliances are generated for each Aggregator. Appliances have varying power requirements, and usage hours that are modelled via implementations of the IPolicy interface. This allows a user to model events such as a Dinner at which time the Oven, Lights, and other related Appliances would be in use. The TimedEvent framework handles callbacks, scheduling and replaying of events. There is a GUI that shows the network at different granularities, right down to individual graphed Appliance usage for a Household as the program runs. A mock-Command Line, that provided alternate program control, was also implemented. A Thread Safe Controller is responsible for asynchronously executing user interactions to avoid ConcurrentModificationExceptions. The program outputs verbose messages to a text file for reviewing after the simulation completes.