Get Started
================================

First, make sure you have everything set up correctly to run RIME:

.. toctree::
   :maxdepth: 1

   /for_data_scientists/get_started/setup.md


Then, check out one of our **Google Colab** tutorials for a quick introduction into running RIME.

Each notebook illustrates how to use RIME to validate, protect, and monitor your ML pipeline across a wide range of tasks
(from classification to ranking) and data modalities (Tabular, NLP, and Images). 
The datasets and models used in these examples come from well-known public sources like
`UCI ML <https://www.kaggle.com/datasets/uciml/adult-census-income>`_ or 
`arXiv <https://www.kaggle.com/datasets/Cornell-University/arxiv?select=arxiv-metadata-oai-snapshot.json>`_.
In these notebooks, we walk through the steps of setting up RIME with an example dataset/model;
we run Stress Testing and then the AI Firewall.

.. toctree::
   :maxdepth: 1
   :caption: Tabular Notebooks

   Fraud Detection (Binary Classification) <https://colab.research.google.com/drive/1o_jG_Z0Mxd5lqXN2pvaH9OT3_4u-bhKT?usp=sharing>
   NYC Taxi Dataset (Regression) <https://colab.research.google.com/drive/1HG7Hn1I2TdMYO0zIDneMUrslNbM7y1bN?usp=sharing>
   Movie Recommendations (Ranking) <https://colab.research.google.com/drive/1m1fTeyiIQsH3M0VHgPVe1NPRiHbnafXx?usp=sharing>

.. toctree::
   :maxdepth: 1
   :caption: NLP Notebooks

   ArXiv Dataset (NLP, Classification)  <https://colab.research.google.com/drive/1PzTpvz3dJPqm9zKtM-583-wU0QXDPCvc?usp=sharing>
   how_to_guides/common_use_cases/adversarial_nlp.md

.. toctree::
   :maxdepth: 1
   :caption: CV Notebooks

   Animals with Attributes 2 (Images, Classification) <https://colab.research.google.com/drive/12xyM6G9yiSabmp4pyat3oyvBMn2GhP5r?usp=sharing>

We also provide a lightweight template so that you can easily plug in your own dataset and model.

.. toctree::
   :maxdepth: 1
   :caption: Custom Notebooks

   Use RIME with your Own Dataset/Model <https://colab.research.google.com/drive/1OSmyiBiTkNLIWwaKDrIZtD70Z7gfHzui?usp=sharing>