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Name: Derek Lilienthal
Type: User
Bio: Ph.D. Artificial Intelligence, Oregon State University
Location: San Jose, California
Name: Derek Lilienthal
Type: User
Bio: Ph.D. Artificial Intelligence, Oregon State University
Location: San Jose, California
https://dblilienthal.github.io/
Survey application
In this research, we quantify foreign actors media events in the South Pacific involving an environmental theme. We use the GDELT (Global Database of Events, Language, and Tone) database to compare the tones of articles produced by Western, Chinese, and South Pacific (Local) media sources that involve an environmental theme and when a great power (United States, China, Australia, New Zealand, Japan, and Russia) is involved as an actor. We found when comparing Western, Chinese, and Local news sources, the average sentimental analysis of Western tones is negative, the average of Local tones is slightly positive, and the average of Chinese tones are very positive. When comparing the difference in means by each set of news sources, we used the Welchโs two sample t-test because the distribution of Western, Chinese, and Local tones followed a normal distribution but had unequal variances among the groups. After conducting our statistical analysis, we found there is strong evidence to conclude the difference in means of tones between the three media sources are statistically significant between each pairwise comparison.
Forecasting energy usage from historic data
In this project, I use sentence embeddings to identify question pairs
In this project, you can draw a digit with your mouse and the deep learning model will tell you what the number is you drew.
This repository is a collection of machine learning projects I have done on my spare time as well some of the projects I have completed at California State University Monterey Bay for the Data Science course.
This repository contains a Jupyter notebook showing how to do Multi-Label Classification for NLP using the Scikit-Learn Library
Demonstration I made showing many different machine learning algorithms for tackling a multiclass classification NLP problem.
I implement a deep learning network to classify COVID-19 Tweets into 5 categories and 3 categories using DistilBERT (a lighter version of BERT) as an embedding layer along with an LSTM and Dense Layer. I Achieve 65% accuracy with 5 categories and 80% accuracy on 3 categories.
Build Windows installers for Python applications
In this repository, I create an encoder-decoder machine learning model using RNN and Transformer architectures to generate comments when given a Python function.
In this repository, I show some web scraping using Seleniumn and jupyter notebooks.
This is a jupyter notebook containing information about how to insert data and run queries from a MySQL instance in python
In this repository, I implement a fine-tuned BERT model using Keras and Tensorflow to detect a sarcastic headline.
This is my first machine learning web app that I deployed using Heroku. This app uses a classification tree to predict whether or not someone would survive on the titanic.
In this repository, I implement a deep convolutional model and visualize the predictions using the Grad-CAM Visualization method on chest X-rays of patients with and without Pneumonia. I am able to achieve 84% accuracy with a model only ~2MB in size.
Simple time-series data visualizer using Streamlit
This repository contains my python notebook containing each logical step in web scraping a job board website.
This repository contains an HTML dashboard to tell a story about WHO is hiring, WHEN are you ready, WHAT do you need to know, and WHERE are the Data Scientists jobs. The data presented was all web scraped by myself from Dice.com over from July 2021 to August 2021
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.