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Paper: AI Model Share - subtitle: An Integrated Toolkit for Collaborative Machine Learning Model Development, Provenance Tracking, and Deployment in Python #911

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merged 17 commits into from
Sep 25, 2024
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\section{Supplementary Information}
\appendix

\subsection{A) Tutorials, Code, and Documentation}
\label{app:tutorials}

\begin{itemize}


\item
\href{https://colab.research.google.com/github/AIModelShare/aimodelshare_tutorials/blob/main/modelshareai/QST_Tabular_Classification.ipynb}{Tabular Classification Tutorial}

\item
\href{https://colab.research.google.com/github/AIModelShare/aimodelshare_tutorials/blob/main/modelshareai/Keras_Image_Classification_Quick_Start_Tutorial.ipynb}{Image Classification Tutorial}

\item
\href{https://colab.research.google.com/github/AIModelShare/aimodelshare_tutorials/blob/main/modelshareai/Text_Classification_QuickStart_IMDB.ipynb}{Text Classification Tutorial}

\item
\href{https://colab.research.google.com/github/AIModelShare/aimodelshare_tutorials/blob/main/modelshareai/Keras_Video_Classification_Quick_Start_Tutorial(1).ipynb}{Video Classification Tutorial}

\item
\href{https://www.modelshare.ai/notebooks/notebook:229}{Regression Tutorial}

\item
\href{https://github.com/AIModelShare/aimodelshare}{Github Page}

\item
\href{https://aimodelshare.readthedocs.io/en/latest/index.html}{Documentation}

\item
\href{https://www.modelshare.ai/}{Modelshare AI Website}


\end{itemize}

\newpage
\subsection{B) Example of User Profile Page}
\label{app:profile_page}

\begin{figure}[h!]
\centering
\includegraphics[width=1\textwidth]{figures/profile_page.png}
\caption{Example of a user profile page. A User Profile Page shows aggregate information about a user's activity (Dashboard), and provides access to Model Playgrounds, apps, code, and models created by the user.}
\end{figure}

\newpage
\subsection{C) Example of Model Playground Page}
\label{app:playground}

\begin{figure}[h!]
\centering
\includegraphics[width=1\textwidth]{figures/playground.png}
\caption{Example of a Model Playground page. The model playground page allows users to make predictions by uploading data or accessing rebuilt code to make API calls, access Experiment and Competition leaderboards, inspect and compare model architectures, and access code submissions.}
\end{figure}

\newpage
\subsection{D) Example of Competition Leaderboard}
\label{app:competition}

\begin{figure}[h!]
\centering
\includegraphics[width=1\textwidth]{figures/competition.png}
\caption{Example of a Competition Leaderboard. Models submitted to Experiments or Competitions are automatically evaluated and can be ranked according to their evaluation metrics. Model metadata, such as hyperparameter settings, layer types, and dimensions, are depicted in the table (not visible in the screenshot). In order to inspect individual models, users can click on "Learn", which will take them to a Model Details page.}
\end{figure}


\newpage
\subsection{E) Example of Model Details Page}
\label{app:model}

\begin{figure}[h!]
\centering
\includegraphics[width=1\textwidth]{figures/model.png}
\caption{Example of a model and its hyperparameter settings. Users can inspect the hyperparameter settings and model architectures of any model submitted to an Experiment or a Competition.}
\end{figure}
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version: 1
project:
# Update this to match `scipy-2024-<folder>` the folder should be `<firstname_surname>`
id: scipy-2024-heinrich_peters
title: Model Share AI
subtitle: An Integrated Toolkit for Collaborative Machine Learning Model Development, Provenance Tracking, and Deployment in Python
# Authors should have affiliations, emails and ORCIDs if available
authors:
- name: Heinrich Peters
email: [email protected]
orcid: https://orcid.org/0000-0002-0571-6388
affiliations:
- Columbia University
corresponding: True
roles:
- Conceptualization
- Methodology
- Software
- Writing - Original Draft
- name: Michael Parrott
email: [email protected]
affiliations:
- Columbia University
roles:
- Conceptualization
- Methodology
- Software
- Resources
- Writing - Review \& Editing
- Supervision
- Project administration
- Funding acquisition
keywords:
- Machine Learning
- MLOps
- Model Deployment
- Provenance Tracking
- Crowdsourcing
# Add the abbreviations that you use in your paper here
abbreviations:
ML: Machine Learning
AI: Artificial Intelligence
AIMS: Model Share AI
# It is possible to explicitly ignore the `doi-exists` check for certain citation keys
error_rules:
- rule: doi-exists
severity: ignore
keys:
- davenport_is_2022
- siegel_models_2022
- noauthor_hugging_2023
- noauthor_tensorflow_2023
- noauthor_mlflow_2023
- zaharia_accelerating_2018
- pedregosa_scikit-learn:_2011
- feurer_efficient_2015
- feurer_openml-python_2021
- chollet_keras_2015

# A banner will be generated for you on publication, this is a placeholder
banner: banner.png
# The rest of the information shouldn't be modified
subject: Research Article
open_access: true
license: CC-BY-4.0
venue: Scipy 2024
date: 2024-07-10
site:
template: article-theme