Pinned Repositories
AIF360
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
contextualized-topic-models
A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021.
Early-Bird-Tickets
[ICLR 2020] Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks
jargon-identification
LinKD
LinkBERT plus Knowledge Distillation
msom-bah
ND_Beamer_Template
A Template for LaTeX Beamer Presentations at the University of Notre Dame. Also features a mini-LaTeX beamer guide in the included document.tex file. All settings are managed in main.tex. Simply add your own slides in document.tex to make your own presentation.
open_lth
A repository in preparation for open-sourcing lottery ticket hypothesis code.
py-irt
Bayesian IRT models in Python
RbF
Source code for Repeat before Forgetting: Spaced Repetition for Efficient and Effective Training of Neural Networks. Hadi Amiri, Timothy A. Miller, Guergana Savova. EMNLP 2017.
Mendoza Business Analytics, Learning, and Language Lab's Repositories
nd-ball/py-irt
Bayesian IRT models in Python
nd-ball/msom-bah
nd-ball/AIF360
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
nd-ball/contextualized-topic-models
A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021.
nd-ball/dragon
Fork of DRAGON: Deep Bidirectional Language-Knowledge Graph Pretraining
nd-ball/Early-Bird-Tickets
[ICLR 2020] Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks
nd-ball/jargon-identification
nd-ball/LinKD
LinkBERT plus Knowledge Distillation
nd-ball/ND_Beamer_Template
A Template for LaTeX Beamer Presentations at the University of Notre Dame. Also features a mini-LaTeX beamer guide in the included document.tex file. All settings are managed in main.tex. Simply add your own slides in document.tex to make your own presentation.
nd-ball/open_lth
A repository in preparation for open-sourcing lottery ticket hypothesis code.
nd-ball/RbF
Source code for Repeat before Forgetting: Spaced Repetition for Efficient and Effective Training of Neural Networks. Hadi Amiri, Timothy A. Miller, Guergana Savova. EMNLP 2017.
nd-ball/uffl-2022
Code from my presentation at UFFL 2022
nd-ball/fairness-comparison
Comparing fairness-aware machine learning techniques.
nd-ball/libcudf_parquet_reading
Experiments on optimizing parquet_reading functionality of libcudf
nd-ball/python-data-analysis
Python for Data Analysis