downloads

RatInABox-Lab · Apr 10, 2023 · 04bade6 · 04bade6
1 parent d6d8256
commit 04bade6
Show file tree

Hide file tree

Showing 2 changed files with 2 additions and 2 deletions.
diff --git a/README.md b/README.md
@@ -1,5 +1,5 @@
 # RatInABox 
-![Tests](https://github.com/TomGeorge1234/RatInABox/actions/workflows/test.yml/badge.svg)   [![PyPI version](https://badge.fury.io/py/ratinabox.svg)](https://badge.fury.io/py/ratinabox)
+![Tests](https://github.com/TomGeorge1234/RatInABox/actions/workflows/test.yml/badge.svg)   [![PyPI version](https://badge.fury.io/py/ratinabox.svg)](https://badge.fury.io/py/ratinabox) [![Downloads](https://static.pepy.tech/badge/ratinabox)](https://pepy.tech/project/ratinabox)
 
 `RatInABox` (see [paper](https://www.biorxiv.org/content/10.1101/2022.08.10.503541v3)) is a toolkit for generating locomotion trajectories and complementary neural data for spatially and/or velocity selective cell types in complex continuous environments. 
 

diff --git a/demos/reinforcement_learning_example.ipynb b/demos/reinforcement_learning_example.ipynb
@@ -5,7 +5,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://github.com/TomGeorge1234/RatInABox/blob/1.x/demos/reinforcement_learning_example.ipynb)"
+    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/TomGeorge1234/RatInABox/blob/dev/demos/reinforcement_learning_example.ipynb)"
    ]
   },
   {