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CITATIONS.bib
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CITATIONS.bib
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# This repository
@misc{I4.0,
author = {TAO71-AI},
title = {I4.0},
year = {2024},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/TAO71-AI/I4.0}}
}
# GPT4All
@misc{gpt4all,
author = {Yuvanesh Anand and Zach Nussbaum and Brandon Duderstadt and Benjamin Schmidt and Andriy Mulyar},
title = {GPT4All: Training an Assistant-style Chatbot with Large Scale Data Distillation from GPT-3.5-Turbo},
year = {2023},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/nomic-ai/gpt4all}},
}
# Transformers
@inproceedings{wolf-etal-2020-transformers,
title = "Transformers: State-of-the-Art Natural Language Processing",
author = "Thomas Wolf and Lysandre Debut and Victor Sanh and Julien Chaumond and Clement Delangue and Anthony Moi and Pierric Cistac and Tim Rault and Rémi Louf and Morgan Funtowicz and Joe Davison and Sam Shleifer and Patrick von Platen and Clara Ma and Yacine Jernite and Julien Plu and Canwen Xu and Teven Le Scao and Sylvain Gugger and Mariama Drame and Quentin Lhoest and Alexander M. Rush",
booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
month = oct,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/2020.emnlp-demos.6",
pages = "38--45"
}
# Datasets
@inproceedings{lhoest-etal-2021-datasets,
title = "Datasets: A Community Library for Natural Language Processing",
author = "Lhoest, Quentin and
Villanova del Moral, Albert and
Jernite, Yacine and
Thakur, Abhishek and
von Platen, Patrick and
Patil, Suraj and
Chaumond, Julien and
Drame, Mariama and
Plu, Julien and
Tunstall, Lewis and
Davison, Joe and
{\v{S}}a{\v{s}}ko, Mario and
Chhablani, Gunjan and
Malik, Bhavitvya and
Brandeis, Simon and
Le Scao, Teven and
Sanh, Victor and
Xu, Canwen and
Patry, Nicolas and
McMillan-Major, Angelina and
Schmid, Philipp and
Gugger, Sylvain and
Delangue, Cl{\'e}ment and
Matussi{\`e}re, Th{\'e}o and
Debut, Lysandre and
Bekman, Stas and
Cistac, Pierric and
Goehringer, Thibault and
Mustar, Victor and
Lagunas, Fran{\c{c}}ois and
Rush, Alexander and
Wolf, Thomas",
booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
month = nov,
year = "2021",
address = "Online and Punta Cana, Dominican Republic",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.emnlp-demo.21",
pages = "175--184",
abstract = "The scale, variety, and quantity of publicly-available NLP datasets has grown rapidly as researchers propose new tasks, larger models, and novel benchmarks. Datasets is a community library for contemporary NLP designed to support this ecosystem. Datasets aims to standardize end-user interfaces, versioning, and documentation, while providing a lightweight front-end that behaves similarly for small datasets as for internet-scale corpora. The design of the library incorporates a distributed, community-driven approach to adding datasets and documenting usage. After a year of development, the library now includes more than 650 unique datasets, has more than 250 contributors, and has helped support a variety of novel cross-dataset research projects and shared tasks. The library is available at https://github.com/huggingface/datasets.",
eprint={2109.02846},
archivePrefix={arXiv},
primaryClass={cs.CL},
}
# Diffusers
@misc{von-platen-etal-2022-diffusers,
author = {Patrick von Platen and Suraj Patil and Anton Lozhkov and Pedro Cuenca and Nathan Lambert and Kashif Rasul and Mishig Davaadorj and Thomas Wolf},
title = {Diffusers: State-of-the-art diffusion models},
year = {2022},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/huggingface/diffusers}}
}
# NumPy
@ARTICLE{2020NumPy-Array,
author = {Harris, Charles R. and Millman, K. Jarrod and
van der Walt, Stéfan J and Gommers, Ralf and
Virtanen, Pauli and Cournapeau, David and
Wieser, Eric and Taylor, Julian and Berg, Sebastian and
Smith, Nathaniel J. and Kern, Robert and Picus, Matti and
Hoyer, Stephan and van Kerkwijk, Marten H. and
Brett, Matthew and Haldane, Allan and
Fernández del Río, Jaime and Wiebe, Mark and
Peterson, Pearu and Gérard-Marchant, Pierre and
Sheppard, Kevin and Reddy, Tyler and Weckesser, Warren and
Abbasi, Hameer and Gohlke, Christoph and
Oliphant, Travis E.},
title = {Array programming with {NumPy}},
journal = {Nature},
year = {2020},
volume = {585},
pages = {357–362},
doi = {10.1038/s41586-020-2649-2}
}
# Pytorch
@inproceedings{Paszke_PyTorch_An_Imperative_2019,
author = {Paszke, Adam and Gross, Sam and Massa, Francisco and Lerer, Adam and Bradbury, James and Chanan, Gregory and Killeen, Trevor and Lin, Zeming and Gimelshein, Natalia and Antiga, Luca and Desmaison, Alban and Kopf, Andreas and Yang, Edward and DeVito, Zachary and Raison, Martin and Tejani, Alykhan and Chilamkurthy, Sasank and Steiner, Benoit and Fang, Lu and Bai, Junjie and Chintala, Soumith},
booktitle = {Advances in Neural Information Processing Systems 32},
editor = {Wallach, H. and Larochelle, H. and Beygelzimer, A. and d'Alché-Buc, F. and Fox, E. and Garnett, R.},
pages = {8024--8035},
publisher = {Curran Associates, Inc.},
title = {{PyTorch: An Imperative Style, High-Performance Deep Learning Library}},
url = {http://papers.neurips.cc/paper/9015-pytorch-an-imperative-style-high-performance-deep-learning-library.pdf},
year = {2019}
}
# Tensorflow
@software{Abadi_TensorFlow_Large-scale_machine_2015,
author = {Abadi, Martín and Agarwal, Ashish and Barham, Paul and Brevdo, Eugene and Chen, Zhifeng and Citro, Craig and Corrado, Greg S. and Davis, Andy and Dean, Jeffrey and Devin, Matthieu and Ghemawat, Sanjay and Goodfellow, Ian and Harp, Andrew and Irving, Geoffrey and Isard, Michael and Jozefowicz, Rafal and Jia, Yangqing and Kaiser, Lukasz and Kudlur, Manjunath and Levenberg, Josh and Mané, Dan and Schuster, Mike and Monga, Rajat and Moore, Sherry and Murray, Derek and Olah, Chris and Shlens, Jonathon and Steiner, Benoit and Sutskever, Ilya and Talwar, Kunal and Tucker, Paul and Vanhoucke, Vincent and Vasudevan, Vijay and Viégas, Fernanda and Vinyals, Oriol and Warden, Pete and Wattenberg, Martin and Wicke, Martin and Yu, Yuan and Zheng, Xiaoqiang},
doi = {10.5281/zenodo.4724125},
license = {Apache-2.0},
month = nov,
title = {{TensorFlow, Large-scale machine learning on heterogeneous systems}},
year = {2015}
}
# Keras-NLP
@misc{kerasnlp2022,
title={KerasNLP},
author={Watson, Matthew, and Qian, Chen, and Bischof, Jonathan and Chollet,
Fran\c{c}ois and others},
year={2022},
howpublished={\url{https://github.com/keras-team/keras-nlp}},
}
# SciPy
@ARTICLE{2020SciPy-NMeth,
author = {Virtanen, Pauli and Gommers, Ralf and Oliphant, Travis E. and
Haberland, Matt and Reddy, Tyler and Cournapeau, David and
Burovski, Evgeni and Peterson, Pearu and Weckesser, Warren and
Bright, Jonathan and {van der Walt}, St{\'e}fan J. and
Brett, Matthew and Wilson, Joshua and Millman, K. Jarrod and
Mayorov, Nikolay and Nelson, Andrew R. J. and Jones, Eric and
Kern, Robert and Larson, Eric and Carey, C J and
Polat, {\.I}lhan and Feng, Yu and Moore, Eric W. and
{VanderPlas}, Jake and Laxalde, Denis and Perktold, Josef and
Cimrman, Robert and Henriksen, Ian and Quintero, E. A. and
Harris, Charles R. and Archibald, Anne M. and
Ribeiro, Ant{\^o}nio H. and Pedregosa, Fabian and
{van Mulbregt}, Paul and {SciPy 1.0 Contributors}},
title = {{{SciPy} 1.0: Fundamental Algorithms for Scientific
Computing in Python}},
journal = {Nature Methods},
year = {2020},
volume = {17},
pages = {261--272},
url = {https://doi.org/10.1038/s41592-019-0686-2},
adsurl = {https://ui.adsabs.harvard.edu/abs/2020NatMe..17..261V},
doi = {10.1038/s41592-019-0686-2},
}
# Pandas
@software{The_pandas_development_team_pandas-dev_pandas_Pandas,
author = {{The pandas development team}},
doi = {10.5281/zenodo.3509134},
license = {BSD-3-Clause},
title = {{pandas-dev/pandas: Pandas}},
url = {https://github.com/pandas-dev/pandas}
}