Brandon Hulston
bhulston
hi:D. My Github is focused on learning and applying ML/AI models to my interests, and some SWE on the side
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A better alternative to Chrome Bookmarks for Obsidian users. Customize templates on the fly and either append to existing notes, create new notes, or do both!
Build an algorithm that can predict multiple future states of Limit Order Books using high-frequency, multi-variate, short time-frame data
Applying a unique approach to an existing research paper on rare event detection in time-series data using an encoder-logistic regression ensemble.
Webscraping recipes from online, and building a recipe recommender that finds healthy alternatives to recipes. Includes nutritional info
Simple Retrieval LLM application to help you find classes at USC
Built Random Forest classifier from scratch on top of Scikit Learn decision trees. Using Scikit Learn to create data cleaning pipelines, perform grid searches for hyper parameter tuning, and decision tree modeling
Repositories
19A better alternative to Chrome Bookmarks for Obsidian users. Customize templates on the fly and either append to existing notes, create new notes, or do both!
Build an algorithm that can predict multiple future states of Limit Order Books using high-frequency, multi-variate, short time-frame data
Turn exports from apps/chatgpt or whatever into organized notes in Obsidian
Applying a unique approach to an existing research paper on rare event detection in time-series data using an encoder-logistic regression ensemble.
Webscraping recipes from online, and building a recipe recommender that finds healthy alternatives to recipes. Includes nutritional info
ChatGPT-Style Web UI Client for Ollama 🦙
Simple Retrieval LLM application to help you find classes at USC
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Using a Kaggle dataset of tweets about BTC for sentiment prediction
Using MongoDB database in conjunction with Python to make predictions on housing prices
Built Random Forest classifier from scratch on top of Scikit Learn decision trees. Using Scikit Learn to create data cleaning pipelines, perform grid searches for hyper parameter tuning, and decision tree modeling
Classifying the language spoken in audio clips of native speakers using audio augmentation techniques and Convolutional Neural Networks
My notes on the Hands on ML with scikit learn, Keras, and TensorFlow book
Some of my learning in Python! I'd recommend looking at the DS_HandBook and the illustration of pca concepts
Notes from any online sessiosn I take part in
In-progress: Sequential Convolutional Neural Networks and an Auto-encoder to reduce dimensionality of images
Homeworks and projects from DeepLearning.ai
Time Series Analysis with Python Cookbook, published by Packt
Using simulations to create matching engines using cvxpy as a linear optimizer