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## Table of Contents ## Table of Contents
- [Introduction to the Atmospheric Machine Learning Benchmarking System](#Introduction-to-Atmospheric-Machine-Learning-Benchmarking-System) - [Introduction to Atmospheric Machine Learning Benchmarking System](#introduction-to-atmospheric-machine-learning-benchmarking-system)
- [Requirements](#Requirements) - [Requirements](#requirements)
- [Getting started](#Getting-started) - [Getting started](#getting-started)
* [Download of the repository](#Download-of-the-repository) * [Download of the repository](#download-of-the-repository)
* [Download of NVIDIA's TF1.15 singularity container](#Download-of-NVIDIA's-TF1.15-singularity-container) * [Download of NVIDIA's TF1.15 singularity container](#download-of-nvidia-s-tf115-singularity-container)
* [Workflow without singularity containers](#Download-without-singularity-containers) * [Workflow without singularity containers](#workflow-without-singularity-containers)
* [Virtual environment](#Virtual-environment) * [Virtual environment](#virtual-environment)
+ [On HPC-systems](#On-HPC-systems) + [On HPC-systems](#on-hpc-systems)
+ [On other systems](#On-other-systems) - [Case I - With TF1.15 singularity container](#case-i---with-tf115-singularity-container)
+ [Further details on the arguments](#Further-details-on-the-arguments) - [Case II - Without TF1.15 singularity container, but with software modules](#case-ii---without-tf115-singularity-container--but-with-software-modules)
- [Case I - Usage of singularity TF1.15 container](#case-i---usage-of-singularity-tf115-container) + [On other systems](#on-other-systems)
- [Case II - Usage of singularity TF1.15 container](#case-ii---usage-of-singularity-tf115-container) + [Further details on the arguments](#further-details-on-the-arguments)
- [Further details on the arguments](#further-details-on-the-arguments) - [Get the datasets](#get-the-datasets)
- [Get the datasets](#Get-the-datasets) * [Complete ERA5 dataset (> 100 GB memory)](#complete-era5-dataset----100-gb-memory-)
+ [Complete dataset (> 100 GB memory)](#Complete-dataset-(>-100-GB-memory)) * [Toy dataset](#toy-dataset)
+ [Toy dataset](#Toy-dataset) * [Climatological reference data](#climatological-reference-data)
+ [Climatological reference data](#Climatological-reference-data) - [Run the workflow](#run-the-workflow)
- [Run the workflow](#Run-the-workflow) * [Create customized runscripts](#create-customized-runscripts)
+ [Create customized runscripts](#create-customized-runscripts) * [Running the workflow steps](#running-the-workflow-steps)
* [Running the workflow steps](#Running-the-workflow-steps) * [Additional Jupyter Notebooks](#additional-jupyter-notebooks)
* [Additional Jupyter Notebooks](#Additional-Jupyter-Notebooks) - [Directory tree and naming convention](#directory-tree-and-naming-convention)
- [Directory tree and naming convention](#Directory-tree-and-naming-convention) + [Overview on placeholders of the output directory tree](#overview-on-placeholders-of-the-output-directory-tree)
- [Benchmarking architectures](#Benchmarking-architectures) + [Directory name convention](#directory-name-convention)
- [Contributors and contact](#Contributors-and-contact) - [Benchmarking architectures](#benchmarking-architectures)
- [Contributors and contact](#contributors-and-contact)
## Introduction to Atmospheric Machine Learning Benchmarking System ## Introduction to Atmospheric Machine Learning Benchmarking System
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