awesome papers in LLM interpretability

MCMC sample analysis, kernel densities, plotting, and GUI

MPhil DiS and MPhil Economics and Data Science - Research Computing and Software Development

Semi-supervised and active learning for anomaly detection for astronomy

This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).

A generative AI extension for JupyterLab

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.