Refactor integrations section (#600)

docs/integrations/seaborn.md

@@ -0,0 +1,20 @@
+---
+title: Seaborn
+---
+
+[seaborn](https://seaborn.pydata.org/) is a Python library for data visualization. 
+ClearML automatically captures plots created using `seaborn`. All you have to do is add two
+lines of code to your script:
+
+```python
+from clearml import Task
+task = Task.init(task_name="<task_name>", project_name="<project_name>")
+```
+
+This will create a [ClearML Task](../fundamentals/task.md) that captures your script's information, including Git details,
+uncommitted code, python environment, your `seaborn` plots, and more. View the seaborn plots in the [WebApp](../webapp/webapp_overview.md), 
+in the experiment's **Plots** tab.
+
+![Seaborn plot](../img/integrations_seaborn_plots.png)
+
+View code example [here](https://github.com/allegroai/clearml/blob/master/examples/frameworks/matplotlib/matplotlib_example.py).