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128 lines
5.2 KiB
Markdown
128 lines
5.2 KiB
Markdown
---
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id: main
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title: What is ClearML?
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slug: /
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---
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ClearML is an open source platform that automates and simplifies developing and managing machine learning solutions
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for thousands of data science teams all over the world.
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It is designed as an end-to-end MLOps and LLMOps suite allowing you to focus on developing your ML code and automation,
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while ClearML ensures your work is reproducible and scalable.
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## Getting Started
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<div class="vid">
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<iframe style={{position: 'absolute', top: '0', left: '0', bottom: '0', right: '0', width: '100%', height: '100%'}}
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src="https://www.youtube.com/embed/s3k9ntmQmD4"
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title="YouTube video player"
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frameborder="0"
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allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; fullscreen"
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allowfullscreen>
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</iframe>
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</div>
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<br/>
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### Friendly Tutorials to Get You Started
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<div className="tbl-1">
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<table>
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<tbody>
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<tr>
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<td><a href="https://github.com/allegroai/clearml/blob/master/docs/tutorials/Getting_Started_1_Experiment_Management.ipynb"><b>Step 1</b></a> - Experiment Management</td>
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<td className="align-center"><a className="no-ext-icon" target="_blank" href="https://colab.research.google.com/github/allegroai/clearml/blob/master/docs/tutorials/Getting_Started_1_Experiment_Management.ipynb">
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<img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
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</a></td>
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</tr>
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<tr>
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<td><a href="https://github.com/allegroai/clearml/blob/master/docs/tutorials/Getting_Started_2_Setting_Up_Agent.ipynb"><b>Step 2</b></a> - Remote Execution Agent Setup</td>
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<td className="align-center"><a className="no-ext-icon" target="_blank" href="https://colab.research.google.com/github/allegroai/clearml/blob/master/docs/tutorials/Getting_Started_2_Setting_Up_Agent.ipynb">
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<img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
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</a></td>
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</tr>
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<tr>
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<td><a href="https://github.com/allegroai/clearml/blob/master/docs/tutorials/Getting_Started_3_Remote_Execution.ipynb"><b>Step 3</b></a> - Remotely Execute Tasks</td>
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<td className="align-center"><a className="no-ext-icon" target="_blank" href="https://colab.research.google.com/github/allegroai/clearml/blob/master/docs/tutorials/Getting_Started_3_Remote_Execution.ipynb">
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<img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
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</a></td>
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</tr>
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</tbody>
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</table>
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</div>
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### Read a Little More
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<div class="max-w-75 align-center">
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</div>
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Want a more in depth introduction to ClearML? Choose where you want to get started:
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<div class="cml-card">
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<ol>
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<li>
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<i>
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<img src="/docs/latest/icons/ico-data-scientist.svg" alt="Data scientist logo" />
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</i>
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<h4>Data Scientists</h4>
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<p>Learn how to use ClearML's experiment tracking and management tools, and more!</p>
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<span class="btn-link">
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<a href="getting_started/ds/ds_first_steps">START HERE</a>
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</span>
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</li>
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<li>
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<i>
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<img src="/docs/latest/icons/ico-mlops-engineer.svg" alt="MLOps engineer logo" />
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</i>
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<h4>MLOps and LLMOps Engineers</h4>
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<p>Learn how to use ClearML's automation, orchestration, and tracking tools</p>
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<span class="btn-link">
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<a href="getting_started/mlops/mlops_first_steps">START HERE</a>
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</span>
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</li>
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<li>
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<i>
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<img src="/docs/latest/icons/ico-devops-engineer.svg" alt="DevOps Engineer logo" />
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</i>
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<h4>DevOps Engineers</h4>
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<p>Learn learn how to deploy and configure a ClearML Server</p>
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<span class="btn-link">
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<a href="./deploying_clearml/clearml_server#deployment">START HERE</a>
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</span>
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</li>
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</ol>
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</div>
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## What Can You Do with ClearML?
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- [Track and upload](../fundamentals/task.md) metrics and models with only 2 lines of code
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- [Reproduce](../webapp/webapp_exp_reproducing.md) experiments with 3 mouse clicks
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- [Create bots](../guides/services/slack_alerts.md) that send you Slack messages based on experiment behavior (for example,
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alert you whenever your model improves in accuracy)
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- Manage your [data](../clearml_data/clearml_data.md) - store, track, and version control
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- Remotely execute experiments on any compute resource you have available with [ClearML Agent](../clearml_agent.md)
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- Automatically scale cloud instances according to your resource needs with ClearML's
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[AWS Autoscaler](../webapp/applications/apps_aws_autoscaler.md) and [GCP Autoscaler](../webapp/applications/apps_gcp_autoscaler.md)
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GUI applications
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- Run [hyperparameter optimization](../fundamentals/hpo.md)
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- Build [pipelines](../pipelines/pipelines.md) from code
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- Much more!
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## Who We Are
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ClearML is supported by you :heart: and the [clear.ml](https://clear.ml) team, which helps enterprise companies build scalable MLOps/LLMOps.
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Join the ClearML community! Your contributions, questions, and input are always welcome. For more information, see [Community Resources](../community.md).
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