jayurbain
Data science and machine learning consultant. Adjunct Professor Medical College of Wisconsin. Former CS Professor, Milwaukee School of Engineering.
Pinned Repositories
Algorithms
artificial-intelligence
Artificial Intelligence course materials
covid19
Data science experiments with Johns Hopkins COVID-19 dataset
ctsi-mcw-deid
NLP Software to deidentify protected health information from clinical notes.
ctsi-mcw-deid-service
NLP web application and web service software to deidentify protected health information from clinical notes
DataScienceIntro
Introductory data science materials
DeepNLPIntro2019
Deep learning for NLP introductory workshop materials
GraphMachineLearning
Course on graph machin learning.
HadoopIntro
machine-learning
Machine learning course materials
jayurbain's Repositories
jayurbain/machine-learning
Machine learning course materials
jayurbain/GraphMachineLearning
Course on graph machin learning.
jayurbain/artificial-intelligence
Artificial Intelligence course materials
jayurbain/ctsi-mcw-deid-service
NLP web application and web service software to deidentify protected health information from clinical notes
jayurbain/DeepNLPIntro2019
Deep learning for NLP introductory workshop materials
jayurbain/covid19
Data science experiments with Johns Hopkins COVID-19 dataset
jayurbain/Microservices
Microservices course content
jayurbain/Algorithms
jayurbain/deep_nlp_biomed
Repository for materials on using state of the art deep NLP models to biomedical data
jayurbain/DeepNLPIntro
Deep learning using RNN, LSTM for Natural Language Processing Applications
jayurbain/ACS
American College of Surgeons (ACS) Quality Improvement Program (QIP) Predictive Modeling
jayurbain/berkeleydeeprl
Berkeley Deep RL
jayurbain/ChestXRay
Experiments with diagnosis of abnormal chest x-rays including pneumonia and covid-19
jayurbain/CloudComputing
Distributed and Cloud Computing Class
jayurbain/deep_transfer_learning
Experiments with embeddings, learned representations, and transfer learning
jayurbain/DeepSequenceLearningIntro
Collection of jupyter notebooks and slides to illustrate deep learning from sequence data
jayurbain/embeddings
Experiments with deep learning embeddings
jayurbain/flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
jayurbain/NLP_Transformers
Natural Language Processing with Transformers
jayurbain/flask-app
Digital Ocean Flask App
jayurbain/FlaskIntro
Introduction to Flask web framework
jayurbain/git_check
Github Thinkful practice
jayurbain/Hippocampal-Volume-Quantification-in-Alzheimers-Progression
Udacity Final Project for 3D Medical Imaging
jayurbain/jayurbain.github.io
Jay Urbain Projects
jayurbain/learning-flask
Simple flask application
jayurbain/MLforTrading
Experiments using machine learning for trading
jayurbain/nnUNet
jayurbain/pathology_ie
Information extraction for colonoscopy pathology reports
jayurbain/SearchStreetNames
Searchable street names using ElasticSearch and OSMNX python library to identify streets and geocodeable intersections.
jayurbain/SentenceSimilarity
Experiments with various sentence embeddings, the word mover distance algorithm, and clustering algorithms to identify semantically similar sentences.