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Merge pull request #68 from pollfly/master

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Fix documentation links
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Jake Henning 2021-06-29 11:04:52 +03:00 committed by GitHub
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@ -21,9 +21,9 @@ ML-Ops scheduler & orchestration solution supporting Linux, macOS and Windows**
* Implement optimized resource utilization policies
* Deploy execution environments with either virtualenv or fully docker containerized with zero effort
* Launch-and-Forget service containers
* [Cloud autoscaling](https://allegro.ai/clearml/docs/docs/examples/services/aws_autoscaler/aws_autoscaler.html)
* [Customizable cleanup](https://allegro.ai/clearml/docs/docs/examples/services/cleanup/cleanup_service.html)
* Advanced [pipeline building and execution](https://allegro.ai/clearml/docs/docs/examples/frameworks/pytorch/notebooks/table/tabular_training_pipeline.html)
* [Cloud autoscaling](https://clear.ml/docs/latest/docs/guides/services/aws_autoscaler)
* [Customizable cleanup](https://clear.ml/docs/latest/docs/guides/services/cleanup_service)
* Advanced [pipeline building and execution](https://clear.ml/docs/latest/docs/guides/frameworks/pytorch/notebooks/table/tabular_training_pipeline)
It is a zero configuration fire-and-forget execution agent, providing a full ML/DL cluster solution.
@ -122,7 +122,7 @@ The ClearML Agent executes experiments using the following process:
#### System Design & Flow
<img src="https://allegro.ai/clearml/docs/_images/ClearML_Architecture.png" width="100%" alt="clearml-architecture">
<img src="https://github.com/allegroai/clearml-agent/blob/master/docs/clearml_architecture.png" width="100%" alt="clearml-architecture">
#### Installing the ClearML Agent

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