Open Science Notebook
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Updated
Sep 21, 2019 - JavaScript
Open Science Notebook
Jupyter notebooks developed to support the research presented in the paper "Enabling adaptivity in web forms based on user characteristics detection through A/B testing and Machine Learning"
Scripts to reproduce the results presented in Astic & Oldenburg (2019). Jupyter notebooks and pre-built cloud environment.
This GitHub repository has latest AI research paper implementations in Kaggle notebooks on deep learning, computer vision, NLP, and reinforcement learning. Updated regularly with brief summaries and code snippets, it offers a browsing option by topic, paper title, or author for easy access. Suitable for those looking to deepen their understanding.
This repository contains a python notebook that creates Table-1: baseline characteristics with p-values comparing two groups. Greatly helpful for clinical and biological studies. Can be used for manuscipts.
SPYRIT examples including tutorials and research contributions
An extensive library of AI resources including books, courses, papers, guides, articles, tutorials, notebooks, AI field advancements and more.
An extensive library of AI resources including books, courses, papers, guides, articles, tutorials, notebooks, AI field advancements and more.
Add a description, image, and links to the research-paper topic page so that developers can more easily learn about it.
To associate your repository with the research-paper topic, visit your repo's landing page and select "manage topics."