diff --git a/README.md b/README.md index 39cdf52..92e4cb0 100644 --- a/README.md +++ b/README.md @@ -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/examples/services/aws_autoscaler/aws_autoscaler/) -* [Customizable cleanup](https://allegro.ai/clearml/docs/examples/services/cleanup/cleanup_service/) -* Advanced [pipeline building and execution](https://allegro.ai/clearml/docs/examples/frameworks/pytorch/notebooks/table/tabular_training_pipeline/) +* [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) 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 -clearml-architecture +clearml-architecture #### Installing the ClearML Agent