Popular GitHub Repositories for Doi

Specify a github or local repo, github pull request, arXiv or Sci-Hub paper, Youtube transcript or documentation URL on the web and scrape into a text file and clipboard for easier LLM ingestion

Here, we use a conditional deep convolutional generative adversarial network (cDCGAN) to inverse design across multiple classes of metasurfaces. Reference: https://onlinelibrary.wiley.com/doi/10.1002/adom.202100548

Tracking instruction-tuned LLM openness. Paper: Liesenfeld, Andreas, Alianda Lopez, and Mark Dingemanse. 2023. “Opening up ChatGPT: Tracking Openness, Transparency, and Accountability in Instruction-Tuned Text Generators.” In Proceedings of the 5th International Conference on Conversational User Interfaces. doi:10.1145/3571884.3604316.

This repository provides a comprehensive collection of research papers focused on multimodal representation learning, all of which have been cited and discussed in the survey just accepted https://dl.acm.org/doi/abs/10.1145/3617833 .

How are words loaded with meaning? Repository accompanying research by Alina Arseniev-Koehler and Jacob G. Foster, titled "Machine learning as a model for cultural learning: teaching an algorithm what it means to be fat." https://journals.sagepub.com/doi/full/10.1177/00491241221122603

Official implementation of our research paper. DOI: 10.1007/s10489-024-05856-6

Official code for paper: Z. Zhang, X. Wang, J. Huang and S. Zhang, "Analysis and Utilization of Hidden Information in Model Inversion Attacks," in IEEE Transactions on Information Forensics and Security, doi: 10.1109/TIFS.2023.3295942

Real-world examples of UMGPT, Maizey and other AI prompts from the University of Michigan.. [DOI: 10.6084/m9.figshare.25669170]

Machine Learning 2 Course Project at RKMVERI, 2021. Published at The Imaging Science Journal (2023), Paper: https://www.tandfonline.com/doi/full/10.1080/13682199.2023.2174657

Official implementation of our research paper. DOI: 10.1109/JIOT.2024.3360882

This tool helps identify and semi-automatically bulk relate publications to projects in Elsevier's Pure using project identifiers and DOIs. It supports a wide range of identifier types, such as External Project ID, Contract ID, and Horizon ID — based on the configured identifier types in Pure.

Scripts and trained models from our paper: M. Ntrougkas, N. Gkalelis, V. Mezaris, "T-TAME: Trainable Attention Mechanism for Explaining Convolutional Networks and Vision Transformers", IEEE Access, 2024. DOI:10.1109/ACCESS.2024.3405788.

INFSCI 2935 Final Project. Understanding ASR systems in terms of their fairness by demographics Analyze the ideas discussed in the paper by https://www.pnas.org/doi/epdf/10.1073/pnas.1915768117 and https://arxiv.org/abs/2109.09061

Scripts and trained models from our paper: M. Ntrougkas, V. Mezaris, I. Patras, "P-TAME: Explain Any Image Classifier with Trained Perturbations", IEEE Open Journal of Signal Processing, 2025. DOI:10.1109/OJSP.2025.3568756.

This is the translation of the FIDDO software of A. Stroh, E. Moulas & Roman Botcharnikov (version 1.0 (12-April-2024) – doi: 10.5281/zenodo.10964859) by A.Stroh.