Korakot’s answer is not correct. You can indeed render OpenAi Gym in colaboratory, albiet kind of slowly using none other than matplotlib. Heres how: Install xvfb & other dependencies (Thanks to Peter for his comment) !apt-get install x11-utils > /dev/null 2>&1 !pip install pyglet > /dev/null 2>&1 !apt-get install -y xvfb python-opengl > /dev/null 2>&1 … Read more
Playground mode opens an ephemeral copy of the notebook that isn’t saved. Typical uses include: Tweaking an existing notebook without cluttering the original. Executing or editing a notebook shared with read-only permissions Without playground mode, these tasks would require creating a copy of the notebook in Drive, which clutters the file list a bit. (Of … Read more
It may be easier to use mounting instead of pydrive. from google.colab import drive drive.mount(‘drive’) After authentication, you can copy your csv file. df.to_csv(‘data.csv’) !cp data.csv “drive/My Drive/”
You can activate and run a new conda environment in Google Colab by using the magic %%bash command: %%bash source activate myenv python import sys # some simple python commands sys.path.append(‘/usr/local/lib/python3.6/site-packages’) print(sys.path) print(“Python version”) print(sys.version) Also including a few other commands I needed to run to get my environment setup completely: !conda update conda -y … Read more
The max_split_size_mb configuration value can be set as an environment variable. The exact syntax is documented, but in short: The behavior of caching allocator can be controlled via environment variable PYTORCH_CUDA_ALLOC_CONF. The format is PYTORCH_CUDA_ALLOC_CONF=<option>:<value>,<option2>:<value2>… Available options: … max_split_size_mb prevents the allocator from splitting blocks larger than this size (in MB). This can help prevent … Read more
Update 2: core ipywidgets now work in Colab, as do many custom widgets! In particular, the base, controls, FileUpload, Image, and output widgets all work in colab. See https://github.com/googlecolab/colabtools/issues/498 for more details. (Tweaked original answer): ipywidgets don’t Just Work with Colab: we have a different security model, wherein each output is in its own iframe … Read more
What solved the problem for me was to restart my kernel, import the following first: import matplotlib matplotlib.use(‘TKAgg’) Then, import matplotlib.pyplot as plt You probably imported matplotlib with another framework before you tried to change to TKAgg. Restart your kernel.
It sounds like third-party cookies may be disabled in your browser, see https://github.com/googlecolab/colabtools/issues/17. The setting is under chrome://settings/content/cookies.
Open the Github notebook that you want to work with in Google Colab. Change the domain from ‘github.com‘ to ‘githubtocolab.com‘. The notebook will open in Colab. Only works with Public repos.
There is no presentation mode. They should implement one though, so keep using what you are using.