Deep Learning for Satellite Imagery

The ML-airport-taxi-out software is developed to provide a reference implementation to serve as a research example how to train and register Machine Learning (ML) models intended for four distinct use cases: 1) unimpeded AMA taxi out, 2) unimpeded ramp taxi out, 3) impeded AMA taxi out, and 4) impeded ramp taxi out. The software is designed to p…

Markov Decision Process (MDP) Toolbox for Python

The ML-airport-configuration software is developed to provide a reference implementation to serve as a research example how to train and register Machine Learning (ML) models intended for predicting airport configuration as a time series. The software is designed to point to databases which are not provided as part of the software release and th…

Contains code for the API that takes in text and predicts concepts & keywords from a list of standardized NASA keywords. API is for exposing models created with the repository `concept-tagging-training`.

Contains code for training NLP models that takes in text and predicts concepts & keywords from a list of standardized NASA keywords. Code for the API that uses models trained by this repo is in `concept-tagging-api` repository.

Scripts for running several OpenAI Baselines algorithms on all MuJoCo or Roboschool gym environments to compare performance.

Natural Language processing for Pathology reports on cancer histology, laterality, side, and behavior.

The ML-airport-arrival-runway software is developed to provide a reference implementation to serve as a research example how to train and register Machine Learning (ML) models intended for predicting arrival runway assignments. The software is designed to point to databases which are not provided as part of the software release and thus this sof…

The ML-airport-departure-runway software is developed to provide a reference implementation to serve as a research example how to train and register Machine Learning (ML) models intended for predicting departure runway assignments. The software is designed to point to databases which are not provided as part of the software release and thus this…

A deep learning project predicting hyperinflammatory syndrome among COVID-19 patients using EHR data.

The ML-airport-taxi-in software is developed to provide a reference implementation to serve as a research example how to train and register Machine Learning (ML) models intended for four distinct use cases: 1) unimpeded AMA taxi in, 2) unimpeded ramp taxi in, 3) impeded AMA taxi in, and 4) impeded ramp taxi in. The software is designed to point …

This repository contains bioinformatics scripts and a Docker container to perform the in silico prediction of Legionella pneumophila serogroup from short read sequences using a supervised machine learning approach.

Random examples of Tensorflow in R

Natural language generation for discrete data in EHRs

Classifying multimodal health data with LSTMs

Text classification algorithms for autism surveillance

An ensemble of BERTs for classifying injury narratives