Pinned Repositories
agent-based-model-virus
Agent-based model simulating the spread of a virus through a community, implemented in Python.
AI-City-Anomaly-Detection
My implementation of the vehicle anomaly detection from https://github.com/ShuaiBai623/AI-City-Anomaly-Detection
clustering-IGT
This project involved clustering participants of the Iowa Gambling Task based on their RL decision model parameters to determine participants with similar decision-making processes.
hive-pig-movielens
Manipulation and exploration of the MovieLens dataset using Apache Hive and Apache Pig.
neo4j-flight-routes
Construction of a graph database of flight routes and analysis of such using the Cypher query language in neo4j.
pyspark-movie-recsys
Code and data which I used to build a simple movie recommendation system using PySpark which runs on Google Cloud Platform.
pyspark-yelp-sentiment-analysis
Data processing, analysis of businesses, users and sentiment analysis of ratings from the very large Yelp dataset, implemented in PySpark.
sentiment-polarity-predictor
Sentiment analysis model written from scratch in Python.
sleep-stage-classifier-sklearn
Building and validating various classification models for the purpose of sleep stage prediction based on data from researchers at the University of Michigan.
sleep_classifiers
Classify sleep from heart rate and acceleration via Apple Watch
liamcarroll's Repositories
liamcarroll/hive-pig-movielens
Manipulation and exploration of the MovieLens dataset using Apache Hive and Apache Pig.
liamcarroll/pyspark-movie-recsys
Code and data which I used to build a simple movie recommendation system using PySpark which runs on Google Cloud Platform.
liamcarroll/sleep_classifiers
Classify sleep from heart rate and acceleration via Apple Watch
liamcarroll/agent-based-model-virus
Agent-based model simulating the spread of a virus through a community, implemented in Python.
liamcarroll/AI-City-Anomaly-Detection
My implementation of the vehicle anomaly detection from https://github.com/ShuaiBai623/AI-City-Anomaly-Detection
liamcarroll/clustering-IGT
This project involved clustering participants of the Iowa Gambling Task based on their RL decision model parameters to determine participants with similar decision-making processes.
liamcarroll/neo4j-flight-routes
Construction of a graph database of flight routes and analysis of such using the Cypher query language in neo4j.
liamcarroll/pyspark-yelp-sentiment-analysis
Data processing, analysis of businesses, users and sentiment analysis of ratings from the very large Yelp dataset, implemented in PySpark.
liamcarroll/sentiment-polarity-predictor
Sentiment analysis model written from scratch in Python.
liamcarroll/sleep-stage-classifier-sklearn
Building and validating various classification models for the purpose of sleep stage prediction based on data from researchers at the University of Michigan.
liamcarroll/bert-tweet-model
Attempting to fine-tune the BERTweet model for sentiment analysis of tweets.
liamcarroll/bigram-language-model
Bigram language model implemented in Python.
liamcarroll/chrF
a tool for calcualting character n-gram F score
liamcarroll/examples
Example deep learning projects that use wandb's features.
liamcarroll/F1
Exploration of insights and analysis possible based on publicly available Formula 1 data.
liamcarroll/hello-world
Learning the basics
liamcarroll/movies-python-py2neo
Neo4j Example Application with backend in py2neo
liamcarroll/music-recsys
Using the last.fm dataset, built a recommender system for music using a collaborative filtering model in tensorflow. Also constructed a user graph to analyse centrality of users and detect communities.
liamcarroll/pig-latin-dataproc
Repo created for running Pig latin scripts on Dataproc on Google Cloud Platform.
liamcarroll/python-programming-1
All labs and code for CA116, Computer Programming I.
liamcarroll/python-programming-2
All labs and code for CA117, Computer Programming II.
liamcarroll/quality-estimation-model
CA4016 Application Domains 2 Quality Estimation Project Repository
liamcarroll/sleep-forecasting-tf
Implementing both single-step and multi-step forecasting models in order to predict sleep using Tensorflow.
liamcarroll/tsfel
An intuitive library to extract features from time series
liamcarroll/yolov5
YOLOv5 in PyTorch > ONNX > CoreML > TFLite