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Name: Frank Lu

Type: User

Bio: Data Science | Machine Learning | Software Engineering

Hi there, my name is Frank Lu 👋.

I like Data Science, Machine Learning, Software Engineering and enjoy building end-to-end data services that deliver useful insights.

Projects for fun:
- Domain-specific BERT for QA: finetuning a pre-trained BERT for question-answering in medical domain
- Rock sample analysis with neural network: clustering of rock sample images using neural network models and K-Means
- Movie Database using PostgreSQL: expanded the learning of PostgreSQL by setting up a local movies database and pgAdmin client.
- Vancouver Crime Map: an interactive web app on Heroku for geospatial and seasonal visualizations of crime patterns in Vancouver neighbourhoods
Projects I am working on:
- Data Science using Airflow Pipeline: an attempt to analyze and model the relationship between Tweeter posting and weather signals across Lower Mainland BC

You can also view my LinkedIn profile here:

Frank Lu's Projects

542_code_review_template

This repo contains code files for the code review activity

airport-gate-scheduling-system

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.

big_abs

Toy python package to determine the largest absolute value of two numbers.

blog-datapipeline-cicd-fork

Data pipeline project using Data Factory, Databricks and Cosmosdb Graph, deployed using Azure DevOps, secured using firewalls and Azure AD

blog01

Frank Lu's personal blog

blog02

Mundana is a free Jekyll theme, Medium styled.

collab

core_sample_analysis

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.

covid19_projections

COVID-19 Projections Using Machine Learning

cpsc340

UBC CPSC 340: Machine Learning and Data Mining (2016W2)

dashr_deployed

data_science_with_airflow

A data science project that incorporates Apache Airflow for automatic data processing, model evaluation, and insight generation.

datature-resources

A repository of resources used in our tutorials and guides ⚡️

devopsai_databricks_fork

DevOps for AI project using Azure Databricks, Azure DevOps and Azure Machine Learning Service

docker_practice

dsci-532-group108

dsci-532-group108-r

dsci_521_q201

dsci_524_group12

facility_scraping

foocat

foocat_flu

fooflur

franklu2014

gate_assignment_operation_optimisation

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.

googlesearch

Google search from Python.

franklu2014 Goto Github PK

Hi there, my name is Frank Lu 👋.

Frank Lu's Projects

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