This page lists some useful resources which you can use for the challenge.
Code submission are mandatory for all submitted reports. We recommend that you:
Publish your code in a public repository (e.g. on GitHub, GitLab, BitBucket)
Document your code appropriately
Have a README.md file which describes the exact steps to run your code. You can refer to the ML
to write the README file and make sure your code submission is complete.
See this blog post on
best practices for
Code Ocean provides 10hrs/month of GPU accelerated platform
free to academics. Code Ocean is a
cloud-based research collaboration platform.
Instructors can apply for Google
Cloud credits for their students. Each student will be given a
fixed amount of starter credits to use Google Cloud Compute (GCP).
By default, Google Cloud accounts don’t come with a GPU quota, but you can find instructions on
how to request GPUs, including links on how to check and increase quotas, at this link.
If necessary, instructors can ask for much more computing credits by contacting:
Students can also request a $300 credit from Google Cloud
Anyone can use Google Colaboratory which
provides free GPU backed Jupyter Notebooks
If you are a company that can offer cloud computing credits, please contact