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Name: Jessie J. Smith
Type: User
Bio: I'm a PhD Student at CU Boulder researching AI & machine learning ethics, fairness, and transparency. Check out some of my repos!
Twitter: _jessiejsmith_
Location: Boulder, Colorado
Name: Jessie J. Smith
Type: User
Bio: I'm a PhD Student at CU Boulder researching AI & machine learning ethics, fairness, and transparency. Check out some of my repos!
Twitter: _jessiejsmith_
Location: Boulder, Colorado
Repository for 'Palette'. This project utilizes the Phillips Hue Light SDK, kmeans clustering algorithms, PyTorch's neural net modules, and the Flask framework for Swift to Python integration.
An open source repository for English and Spanish speakers who are interested in learning how to use data science to create a social impact.
Open Source tutorial for introductory data scientists to implement fairness models to correct for training data redundantly encoded with bias.
The repo that holds the code for the ongoing study assessing whether fairness metrics can help minimize unwanted feedback loops in certain multistakeholder recommender systems.
A simplified version of Uber
A full curriculum to teach introductory coding in python through the use of modern ethics, HCI, & STS case studies.
Testing out some basics to practice my machine learning skills!
A mapping SLC project.
Data Science project that implements sentiment analysis on your personal facebook account. By cross-examining the public timeline posts vs. the private messages, I created visualizations to discover if my private sentiment is different than my public sentiment. Then, I used a machine learning algorithm to predict what my future sentiment might be.
Replicating the famous ProPublic Machine Bias study with an emphasis on gender bias rather than racial bias
The Recognizing, Exploring, and Articulating Limitations in Machine Learning research tool (REAL ML) is a set of guided activities to help ML researchers recognize, explore, and articulate the limitations that arise in their research.
A mixed methods study to see the impact that choosing different surrogate problems and different positive signals in data for recommender systems has on various optimization metrics for users
Starter pack for an awesome Udemy course
A simplified version of Facebook to understand React-Redux and MVC better
Code & Stuffs from my Social Media Data Mining Grad Course
CPE 308 - Tempo
A tutorial to reverse engineer Twitter's trending algorithm. In this repo you will also find a report that highlights some ethical concerns with social media engagement manipulation.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 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. 📊📈🎉
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 ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.