From 6373237960f31c5f2e4216c00290e3af311e4bbf Mon Sep 17 00:00:00 2001 From: Revital Date: Tue, 22 Jun 2021 13:59:37 +0300 Subject: [PATCH] switch allegro.ai link to clear.ml links --- README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 1ebf8d6..f8973c6 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/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 -clearml-architecture +clearml-architecture #### Installing the ClearML Agent