John Kirchenbauer

lm-watermarking. Jupyter Notebook

mtp-lm. Source code to accompany research paper on training multi token prediction language models using self-distillation.

fictionalqa. Dataset generation codebase for the FictionalQA dataset.

CMSC828A-Spring2023. Repository for delivering programming assignment course materials for the Spring 2023 offering of CMSC828A “Fantastic Machine Learning Paradigms and Where to use Them” taught by Tianyi Zhou and TA'd by John Kirchenbauer, Maharshi Gor, and Kwesi Cobbina at University of Maryland, College Park.

axonn. A parallel framework for training deep neural networks

nlp-hw. Homework for NLP course at University of Maryland

ramen. A software for transferring pre-trained English models to foreign languages

Non-Homophily-Large-Scale. [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods