# Tabs for TensorFlow and PyTorch Environment

- [Notebook](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/notebook.md): The Notebook tab inside a Repo Sync Project works like a placeholder to keep all the Git Hub & Git Lab Repository documents (folders and files) of the logged in user.
- [Accessing the Notebook Tab](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/notebook/accessing-the-notebook-tab.md): This section displays the steps to access Notebook tab within a Repo Sync Project.
- [Adding a Folder or File](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/notebook/adding-a-folder-or-file.md): This section mentions the steps to add a new folder or file to a Repo Sync Project.
- [Notebook Page](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/notebook/notebook-page.md): Explore the page where all the Data Science activities take place. The listed topics will be supported only for .ipynb files.
- [Preview File](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/notebook/notebook-page/preview-file.md): The Content of a saved file can be opened/previewed without activating the respective project. This functionality is supported in all file types.
- [.ipynb Cells](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/notebook/notebook-page/.ipynb-cells.md): Learn steps to add .ipynb file and use it.
- [Using a Code Cell](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/notebook/notebook-page/.ipynb-cells/using-a-code-cell.md): Write & Run Code in a Notebook.
- [Using a Markdown Cell](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/notebook/notebook-page/.ipynb-cells/using-a-markdown-cell.md): This page describes steps to use the text cells of the Notebook.
- [Using an Assist Cell](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/notebook/notebook-page/.ipynb-cells/using-an-assist-cell.md)
- [Resource Utilization Graph](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/notebook/notebook-page/resource-utilization-graph.md): It helps to identify the resource utilization of a Data Science Lab Project where the Notebook is saved and getting executed.
- [Notebook Taskbar](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/notebook/notebook-page/notebook-taskbar.md): The Notebook taskbar presents different options that may be used to manipulate the way the notebook functions.
- [Operations for an .ipynb File](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/notebook/notebook-page/operations-for-an-.ipynb-file.md): This section aims at describing the various operations for a Data Science Notebook available under the TensorFlow or PyTorch environment.
- [Datasets](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/notebook/notebook-page/operations-for-an-.ipynb-file/datasets.md): Now the Notebook page facilitates the user to add the datasets.
- [Copy Path (for Sandbox files)](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/notebook/notebook-page/operations-for-an-.ipynb-file/datasets/copy-path-for-sandbox-files.md): This page explains the Copy Path functionality for the added data.
- [Secrets](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/notebook/notebook-page/operations-for-an-.ipynb-file/secrets.md): Generate Environment Variables to save your confidential information from getting exposed.
- [Algorithms](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/notebook/notebook-page/operations-for-an-.ipynb-file/algorithms.md): Get steps on how to do Algorithm Settings and Project level access to use Algorithms inside Notebook.​
- [Transforms](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/notebook/notebook-page/operations-for-an-.ipynb-file/transforms.md): Save and load models with transform script, register them or publish them as an API through DS Lab module.
- [Models](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/notebook/notebook-page/operations-for-an-.ipynb-file/models.md): Saving & loading a Data Science Lab model
- [Model Explainer](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/notebook/notebook-page/operations-for-an-.ipynb-file/models/model-explainer.md): The user can explore the Data Science Lab models using the Explainer dashboard with multiple charts that aim to explain the model specifications.
- [Registering & Unregistering a Model](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/notebook/notebook-page/operations-for-an-.ipynb-file/models/registering-and-unregistering-a-model.md): Register a DSL Model from the Notebook tab
- [Model Filter](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/notebook/notebook-page/operations-for-an-.ipynb-file/models/model-filter.md): The saved model can be filtered from the Notebook page. This section describes the details for the same.
- [Files](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/notebook/notebook-page/operations-for-an-.ipynb-file/files.md): Users will be allotted a Data folder in each Data Science Lab project to create files, folders and upload a file into the dedicated Data Sandbox location
- [Variable Explorer](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/notebook/notebook-page/operations-for-an-.ipynb-file/variable-explorer.md): Get the Variables information listed under this tab.
- [Writers](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/notebook/notebook-page/operations-for-an-.ipynb-file/writers.md)
- [Find and Replace](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/notebook/notebook-page/operations-for-an-.ipynb-file/find-and-replace.md): The user can also find and replace the text by using the Find/Replace option.
- [Actions Icons for .ipynb File](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/notebook/notebook-page/actions-icons-for-.ipynb-file.md)
- [File Options](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/notebook/file-options.md): This section describes options provided to a file under Repo Sync Project.
- [Export](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/notebook/file-options/export.md): An .ipynb file can be exported to the Data Pipeline module by using this option.
- [Register](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/notebook/file-options/register.md)
- [Delete](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/notebook/file-options/delete.md)
- [Git Console](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/notebook/git-console.md): This option is provided to apply various Git commands on the Repo Sync Project.
- [Dataset](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/dataset.md): This section focuses on how to add or upload datasets to your Repo Sync Projects. The Dataset tab lists all the added Datasets for a Project.
- [Adding Data Sets](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/dataset/adding-data-sets.md): The Dataset tab allows the users to add the required Datasets and view the added Datasets for a specific Project.
- [Data Sets](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/dataset/adding-data-sets/data-sets.md)
- [Data Sandbox](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/dataset/adding-data-sets/data-sandbox.md)
- [Dataset List Page](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/dataset/dataset-list-page.md): This section provides details about all the options/actions provided to an added dataset inside a Data Science Lab project.
- [Preview](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/dataset/dataset-list-page/preview.md): The Data Preview option displays a sample of the actual data for the user to understand the data values in a better way.
- [Data Profile](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/dataset/dataset-list-page/data-profile.md): This feature helps users to visualize the detailed profile of data to know about data quality, structure and consistency.
- [Create Experiment](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/dataset/dataset-list-page/create-experiment.md): This option helps the users to create an Auto ML experiment on the selected Dataset.
- [Data Preparation](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/dataset/dataset-list-page/data-preparation.md): Data preparation is the process of collecting, cleaning, and transforming raw data into a format that can be easily analyzed and used for various applications.
- [Delete](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/dataset/dataset-list-page/delete.md)
- [Model](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/model.md): The Model tab includes various models created, saved, or imported using the Data Science Lab module. It broadly list Data Science Models, Imported Models, and Auto ML models.
- [Import Model](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/model/import-model.md): External models can be imported into the Data Science Lab and experimented inside the Notebooks.
- [Model Explainer](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/model/model-explainer.md): The user can explore the AutoML models using the Explainer dashboard with multiple charts that aim to explain the model specifications.
- [Share a Model](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/model/share-a-model.md): The share option for a model facilitates the user to share it across with other users and user groups. It also helps the user to exclude the privileges of a previously shared model.
- [Export to GIT](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/model/export-to-git.md): The user can migrate a Model across space or server using the Export to GIT feature.
- [Register a Model](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/model/register-a-model.md): To register a model implies pushing the model into the Pipeline environment where it can be used for inferencing when Production data is read.
- [Unregister A Model](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/model/unregister-a-model.md): To unregister a model means to remove it from the Pipeline environment.
- [Register a Model as an API Service](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/model/register-a-model-as-an-api-service.md): This section explains steps involved in registering a Data Science Model as an API Service.
- [Register a Model as an API](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/model/register-a-model-as-an-api-service/register-a-model-as-an-api.md)
- [Register an API Client](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/model/register-a-model-as-an-api-service/register-an-api-client.md)
- [Pass Model Values in Postman](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/model/register-a-model-as-an-api-service/pass-model-values-in-postman.md)
- [AutoML Models ](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/model/automl-models.md): Top three AutoML models are enclosed within a folder and displayed on the Models list page containing the same name of Experiment created.
- [Auto ML](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/auto-ml.md): The Auto ML tab allows the users to create various experiments on top of their datasets and list all the created experiments.
- [Creating AutoML Experiments](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/auto-ml/creating-automl-experiments.md): A Data Scientist can create various Experiments based on specified algorithms.
- [Creating an Experiment](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/auto-ml/creating-automl-experiments/creating-an-experiment.md): Creating an Experiment is a two-step process that involves configuration and selection of the algorithm type as steps.
- [AutoML List Page](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/auto-ml/automl-list-page.md): All the created AutoML experiments will be listed under the AutoML List page.
- [Experiment Status](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/auto-ml/automl-list-page/experiment-status.md)
- [Actions](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/auto-ml/automl-list-page/actions.md): The Actions column provides applicable actions on the respective AutoML experiment.
- [View Report](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/auto-ml/automl-list-page/actions/view-report.md): This option provides the summary of the experiment (completed or failed) along with the details of the recommended model (in case of a completed experiment).
- [Details](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/auto-ml/automl-list-page/actions/view-report/details.md): The Details tab opens while clicking the View Report icon for an experiment with Completed status.
- [Models](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/auto-ml/automl-list-page/actions/view-report/models.md): The Models tab displays details about the top 3 models returned by the AutoML experiment that was executed on the given dataset.
- [View Explanation](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/auto-ml/automl-list-page/actions/view-report/models/view-explanation.md): The View Explanation option allows user to check details pertaining to each of the top 3 models.
- [Model Summary](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/auto-ml/automl-list-page/actions/view-report/models/view-explanation/model-summary.md): The Model Summary option gets displayed by default while clicking the View Explanation option for an Auto ML model.
- [Model Interpretation](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/auto-ml/automl-list-page/actions/view-report/models/view-explanation/model-interpretation.md): Upon clicking Model Explainer, the user is taken to a dashboard where he /she can gather insights and explanations about predictions made by the selected Auto ML model.
- [Classification Model Explainer](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/auto-ml/automl-list-page/actions/view-report/models/view-explanation/model-interpretation/classification-model-explainer.md): This page provides model explainer dashboards for Classification Models.
- [Regression Model Explainer](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/auto-ml/automl-list-page/actions/view-report/models/view-explanation/model-interpretation/regression-model-explainer.md): This page provides model explainer dashboards for Regression Models.
- [Forecasting Model Explainer](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/auto-ml/automl-list-page/actions/view-report/models/view-explanation/model-interpretation/forecasting-model-explainer.md): This page provides model explainer dashboards for Forecasting Models.
- [Dataset Explainer](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/auto-ml/automl-list-page/actions/view-report/models/view-explanation/dataset-explainer.md)
- [Delete](https://docs.bdb.ai/data-science-lab-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/auto-ml/automl-list-page/actions/delete.md): The Delete option helps to remove the selected Auto ML from the list.


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