google-colaboratory

In a project, I have e.g. two different packages, How can I use the setup.py to install these two packages in the Google's Colab, so that I can import the packages? You can use !setup.py install to do that. Colab is just like a Jupyter notebook. Therefore, we can use the ! operator here to install any package in Colab. What ! actually does is, it tells the notebook cell that this line is not a Python code, its a command line script . So, to run any command line script in Colab, just add a ! preceding the line. For example: !pip install tensorflow . This will treat that line (here pip install

Here it is described how to use gpu with google-colaboratory: Simply select "GPU" in the Accelerator drop-down in Notebook Settings (either through the Edit menu or the command palette at cmd/ctrl-shift-P). However, when I select gpu in Notebook Settings I get a popup saying: Failed to assign a backend No backend with GPU available. Would you like to use a runtime with no accelerator? When I run: import tensorflow as tf device_name = tf.test.gpu_device_name() if device_name != '/device:GPU:0': raise SystemError('GPU device not found') print('Found GPU at: {}'.format(device_name)) Of course, I

I am running a deep learning model in google colab and it works fine with colab notebook. The problem is as the training of deep learning model progresses in the cloud colab notebook, my own computers cpu and memory usage also starts to go up. The RAM usage for the colab notebook browser window alone is more than 500 MB and it keeps climbing as the training progresses. In google colab we have to keep open our running notebooks to train the model else we will lose all our previous work and it stops training. Can I run google colab from my terminal window instead of browser? Is there any way to

How to export data frames which are created in google colab to your local machine? I have cleaned a data set on google colab. Now I want to export the data frame to my local machine. df.to_csv is saving file to the virtual machine and not my local machine. Try this from google.colab import files files.download("data.csv") Update(Sep 2018): now it's even easier open the left pane select 'Files' tab click 'Refresh' right click the file, then download Try this: First you can save the file using pandas to_csv functionality later on you can download that file using google colab files functionality.

If I want to run another version of tensorflow or keras, then I can install the same with specific version. But after that I want to rollback to latest version, and install tensorflow again with latest version say 1.6.0rc, it is installing, but when I check the version again, it is still pointing to earlier version of tensorflow. How can I overwrite earlier version with latest one? If I restart runtime, it is not affecting the software installed, it is only resetting application variables. The other way is to restart the virtual machine itself, but how do I do that? Or I need to close colab