Notebooks in Colab#

We describe here how you can run in Google Colab the notebooks we provide for this tutorial and therefore reproduce the experiments we present.

Google Colab, short for Collaboratory, is a free, cloud-based platform by Google that allows users to write and execute Python code in a Jupyter Notebook environment. It’s especially popular for machine learning and data science tasks because it provides access to powerful hardware like GPUs and TPUs at no cost.

From Colab, choose File, Import, Github, and indicate the following repository https://github.com/geoffroypeeters/deeplearning-101-audiomir_notebook.

_images/colab_1.png

Fig. 4 Importing github files in Google Colab#

Within the imported notebook, change do_deploy to True.
If you then run the notebook, it will automatically

  1. install/import all necessary packages,

  2. git clone the code of this tutorial in your local (temporary) Colab space

  3. download/unzip the necessary datasets (audio in .hdf5 and annotations in .pyjama) in your local (temporary) Colab space

_images/colab_2.png

Fig. 5 Deploying package and dataset within Google Colab#

Actions:#

We show that

  • import a notebook on colab