From 04bade6509ee70695a5ab62a08596fc634bc26ed Mon Sep 17 00:00:00 2001 From: Tom George Date: Mon, 10 Apr 2023 09:19:14 +0100 Subject: [PATCH] downloads --- README.md | 2 +- demos/reinforcement_learning_example.ipynb | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 195d0d8e..68e88a13 100644 --- 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 index 89f86842..1a17ea2d 100644 --- 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)" ] }, {