Jackson Baxter jacksonbaxter

Pinned

1. CS 474 Deep Learning Projects

   This is a repo of all the projects I completed during my CS 474 Deep Learning class. Topics include: PyTorch Unets Convolutional Neural Networks Diffusion Modeling Transfer Learning Reinforcement Learning Generalization Self-attention and more… Github Link https://github.com/jacksonbaxter/CS474

   AI Python Deep Learning PyTorch Jupyter Notebook"

2. Utah Apartment Price Prediction Project

   Utah Apartments CS 270 Final Project These are the results of my final project and presentation to predict Utah County apartment prices based on a number of practices. The data collection and models can be found in the Jupyter Notebook and the final report can be found in the pdf. Github Link https://github.com/jacksonbaxter/Utah-Apartments-CS270

   Jupyter Notebook AI Python Machine Learning

3. LLM to SQL Group Project

   Here is the source code and post for my LLM to SQL group project for a Database class. https://github.com/pined1/LLM_SQL Natural Language SQL Project Purpose of the Database My database models vendor and product data for a marketplace application, which includes vendors, their products, customer ratings, and orders. Schema Query I thought it did well on Question: Which vendors have the highest rating? GPT SQL Response: SELECT Vendors.VendorID, Vendors.VendorName, MAX(Ratings.RatingValue) as MaxRating FROM Vendors INNER JOIN Ratings ON Vendors.

   SQL Database AI

4. High Performance Cache in Rust Project

   For my final project for my database modeling class at BYU I decided to combine my desire to learn more Rust and fulfill the following requirements at the same time: Features Caching layer non-persistent (e.g. Redis) and persistent layer (e.g. Postgres SQL). (See https://redis.com/wp-content/uploads/2023/04/redis-enterprise-for-caching.pdf) In-memory cache (fastest, but volatile) Redis cache (medium speed, distributed) PostgreSQL database (persistent storage) Support 5000 read requests per second with subsecond average latency on each request.

   Rust Database