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Lawrence Wang's Projects

machine-learning icon machine-learning

Generalized process to generate predictive models using the LightGBM machine learning algorithm. Includes feature selection and hyper-parameter optimization. Scaled back version of code used to compete in the Predicting Molecular Properties competition hosted on Kaggle in 2019.

mdd icon mdd

Updated version of a3md (make a better description later)

potentiostat-code icon potentiostat-code

All the code for testing and operating the homebuilt potentiostat described in my thesis. Check Fa-Yuan Wang's 2019 thesis submitted to the University of Toronto for more details.

qiskit-aqua icon qiskit-aqua

Aqua provides a library and tools to build applications for noisy quantum computers.

qiskit-terra icon qiskit-terra

Terra provides the foundations for Qiskit. It allows the user to write quantum circuits easily, and takes care of the constraints of real hardware.

qm-visualization icon qm-visualization

Python code that allows user to visualize concepts and problems in quantum mechanics such as quantum superposition and time evolution

qmdash icon qmdash

A dashboard to visualize quantum mechanics concepts using Plotly Dash.

qmvis icon qmvis

Python package that can be used to create calculations and visualizations of simple/common quantum mechanical systems for educational purposes

sem_size_analysis icon sem_size_analysis

This is a repository for using deep learning to segment SEM images for easier and faster analysis of sample structures and properties

xgboost icon xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

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