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.

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

A multi-voice TTS system trained with an emphasis on quality

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Taming Transformers for High-Resolution Image Synthesis

Examples for doing spatial analysis in CSC computing environment.

A dataset of Roman amphitheaters.

spaCy-compatible sm/md/lg/trf core models for Latin, i.e pipeline with POS tagger, morphologizer, lemmatizer, dependency parser, and NER