Frank Lu's Projects
This repo contains code files for the code review activity
Airport Gate Scheduling System is an automatic assignment of Landing time and Take-off time for each of the airplanes based on various constraints so that no two planes have schedule conflict.
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
Toy python package to determine the largest absolute value of two numbers.
Data pipeline project using Data Factory, Databricks and Cosmosdb Graph, deployed using Azure DevOps, secured using firewalls and Azure AD
Frank Lu's personal blog
Mundana is a free Jekyll theme, Medium styled.
Use computer vision techniques and deep learning to analyze images of rock core samples. RGB composition of images is examined and an edge-enhance algorithm is applied. 3 deep learning models (ResNet50, InceptionV3, Xception) are used for feature extraction, and K-Means is used for clustering.
COVID-19 Projections Using Machine Learning
UBC CPSC 340: Machine Learning and Data Mining (2016W2)
A data science project that incorporates Apache Airflow for automatic data processing, model evaluation, and insight generation.
A repository of resources used in our tutorials and guides ⚡️
DevOps for AI project using Azure Databricks, Azure DevOps and Azure Machine Learning Service
This is the model accompanying the assignment for the Course AE4441-16 Operations Optimisation. The model was written by Stijn Brunia, Matthijs Torsij & Reinier Vos. It contains a linear programming tool to optimise a gate assignment for a given traffic mix and airport for passenger walking distance.
Google search from Python.