Characterizing Similarities in Task-trained Dynamical Models on Abastract Relation Tasks(subject to change)

TBD

Requirements

python>=3.6?
#TBD

Start As a Collaborator (Terminal / console in VScode)

• Clone the current repo to a designated folder on local machine in terminal by git clone https://github.com/Xemin0/NeuroAIProj_Abstract.git
• Create your own branch by git checkout -b <your branch name>
• Work on your own branch: whenever you want to upload your changed code to github type in terminal

  # Track all files
  git add -A 
  # Take a snapshot of these files and add a comment
  git commit -m 'update: <your comment on this upload here>'
  # Push the changes to the remote repo
  git push origin <your branch name>

• Always submit a Pull Request if you want to combine your code to the main branch

TO-DOs(subject to change)

• proposal
• overall pipleline/framework
• division of work, e.g. data generation / processing / pipeline construction/ model architecture design / training-testing / analysis etc.