Name: Laurel Lord
Type: User
Company: Harrisburg University of Science and Technology
Bio: Current HU Data Science Ph.D. Candidate and Research Fellow~ HU Google DSC Member ~
Personal motto: Collect, Explore, Explain
Location: Harrisburg, PA, USA
Blog: https://www.linkedin.com/in/laurel-lord-49155a49/
Laurel Lord's Projects
Allows authenticated or anonymous users to fill out a standard web form to create GitHub issues (and pull requests).
Web application related to the research "The Personality of Gangsters"
Creole markup tools written in Python.
This is a tutorial for the Google Developer Student Club at Harrisburg University
A Google Quick, Draw! library for Processing
Video lectures to LaTeX converter
Build a Flask web application to help users retrieve key restaurant information and feature-based reviews (generated by applying market-basket model – Apriori algorithm and NLP on user reviews).
A detailed catalog of my past work-related experiences.
:page_facing_up::briefcase::tophat: A simple Jekyll + GitHub Pages powered resume template.
The HTML Presentation Framework
scikit-learn: machine learning in Python
Using scrapy to scrape tripadvisor in order to get users' reviews.
Generating the Simpsons TV scripts using RNNs and LSTMs. The scene is among homer simpson, moe szyslak, and barney gumble.
Forked from tdozat/Parser and adapted to tensorflow 0.12
This command line app scrapes Billboard charts, collects lyrics for those songs, and associated metadata from Spotify.
Public runnable examples of using John Snow Labs' NLP for Apache Spark.
Finds the Lyrics of the song playing on your Spotify account, and displays the lyrics
Tool to scrape the Spotify web interface to retrieve artist logos
An extended analysis of the evolution of American popular music from 1960 to 2017 using data from the Billboard Year-End Hot 100 charts, lyrics scraped from the web, and Spotify audio features.
A simple madlib style storytelling form. All the stories told here will show up on the Brigade site. A few hand picked stories will show up on the Code for America homepage. We hope that other tools we make will automatically create stories as well.
Project created for mhacks 8
Official repository for main codebase for Tatoeba, a multilingual sentence/translation database.
Example code snippets and machine learning code for Teachable Machine
Teachable Machine application in class Machine Learning for the Web at ITP, NYU 2019.
用Tensorflow实现的深度神经网络。
Classify a malayan night heron and a night heron.
Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.