bhulston
hi:D. My Github is focused on learning and applying ML/AI models to my interests, and some SWE on the side
Pinned Repositories
bookmark_plugin
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!
DeepLearning-Coursera
Homeworks and projects from DeepLearning.ai
Draft-Image-Recognition-and-Auto-encoder
In-progress: Sequential Convolutional Neural Networks and an Auto-encoder to reduce dimensionality of images
Hands_on_ML_notes
My notes on the Hands on ML with scikit learn, Keras, and TensorFlow book
Language-Classification-of-Audio
Classifying the language spoken in audio clips of native speakers using audio augmentation techniques and Convolutional Neural Networks
RecipeDB-Project-in-progress
Webscraping recipes from online, and building a recipe recommender that finds healthy alternatives to recipes. Includes nutritional info
Time-Series-Anomaly-Detection
Applying a unique approach to an existing research paper on rare event detection in time-series data using an encoder-logistic regression ensemble.
Time-Series-Prediction-with-LSTM-and-XGB
Build an algorithm that can predict multiple future states of Limit Order Books using high-frequency, multi-variate, short time-frame data
USC-GPT
Simple Retrieval LLM application to help you find classes at USC
open-webui
User-friendly WebUI for LLMs (Formerly Ollama WebUI)
bhulston's Repositories
bhulston/bookmark_plugin
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!
bhulston/Time-Series-Prediction-with-LSTM-and-XGB
Build an algorithm that can predict multiple future states of Limit Order Books using high-frequency, multi-variate, short time-frame data
bhulston/Time-Series-Anomaly-Detection
Applying a unique approach to an existing research paper on rare event detection in time-series data using an encoder-logistic regression ensemble.
bhulston/DeepLearning-Coursera
Homeworks and projects from DeepLearning.ai
bhulston/Draft-Image-Recognition-and-Auto-encoder
In-progress: Sequential Convolutional Neural Networks and an Auto-encoder to reduce dimensionality of images
bhulston/Hands_on_ML_notes
My notes on the Hands on ML with scikit learn, Keras, and TensorFlow book
bhulston/Language-Classification-of-Audio
Classifying the language spoken in audio clips of native speakers using audio augmentation techniques and Convolutional Neural Networks
bhulston/LinearOptimization-Uber-Modeling
Using simulations to create matching engines using cvxpy as a linear optimizer
bhulston/My-Personal-Notes
Some of my learning in Python! I'd recommend looking at the DS_HandBook and the illustration of pca concepts
bhulston/Random-Forest-on-Cancer-Classification
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
bhulston/RecipeDB-Project-in-progress
Webscraping recipes from online, and building a recipe recommender that finds healthy alternatives to recipes. Includes nutritional info
bhulston/Ripple-Summer-Project
Defined key metrics, built data, analysis, and ML pipelines, feature engineering, and dashboard engineering. Data was collected from blockchain nodes, containing information about customer quotes and payments. Focused on quotes
bhulston/Time-Series-Analysis-with-Python-Cookbook
Time Series Analysis with Python Cookbook, published by Packt
bhulston/USC-GPT
Simple Retrieval LLM application to help you find classes at USC
bhulston/AlpacaFinetuning---BTC-Sentiment
Using a Kaggle dataset of tweets about BTC for sentiment prediction
bhulston/nanoGPT---TinyEducationStories
The simplest, fastest repository for training/finetuning medium-sized GPTs.
bhulston/ollama-webui
ChatGPT-Style Web UI Client for Ollama 🦙
bhulston/OnlineTalks-camps
Notes from any online sessiosn I take part in
bhulston/PyMongo-ML
Using MongoDB database in conjunction with Python to make predictions on housing prices