GitHub Repositories
- VAINE Widget - Visualization and AI for Natural Experiments -- is a visual analytics system that enables users to identify natural experiments in observational data and estimate the impact of treatment variables on outcomes.
- Gumby Spectral Imaging - Deep learning models for multi- and hyper-spectral imaging data.
- DieselWolf - Open source data set for radio frequency machine learning research.
- GenX - Designed to enable interactive exploration and explanation of natural language generation outputs with a focus on the detection of memorization
- TExplore - Interactive tool for rapid and reproducible identification of informative trends over time in unstructured text datasets.
- EXPERT - Contains the code and notebooks developed on the EXPERT project to fuse a variety of multilingual heterogenous open-source data streams.
- EXPERT2 - Develops novel AI foundation models to enable multi-hop reasoning over the scientific documents for generating human-interpretable evidence and uncertainty estimates.
- Diet Parselantro - Data annotation tool that helps users parse, label, and organize textual data into a taxonomy.
- CrossCheck - Interactive capability for rapid cross-model comparison and reproducible error analysis.
- Molecular Property Prediction Machine Learning (ML) Dashboard - A tool to visualize and explore the results of ML models to predict multiple molecule properties.
- SocialSim - Collection of measurements and metrics to be used on social network data.
- ChemReasoner - Catalyst Discovery via large language model-driven reasoning
- SVEN - Combines multiple graph optimization algorithms to reduce clutter and improve storyline visualization.
- CHISSL - Interactive machine learning prototype designed to provide a novel, simpler way for non-expert users to quickly and effortlessly explore large datasets.
- ErrFilter - Exploratory visualization tool for error analysis to explain multimodal machine learning model predictions.
- ESTEEM - A novel framework for qualitatively evaluating and visualizing spatiotemporal embeddings in social media.