-
Notifications
You must be signed in to change notification settings - Fork 60
Issues: kylemath/DeepEEG
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Author
Label
Projects
Milestones
Assignee
Sort
Issues list
Attempting to bump versions, need to catch up integration with MNE
#45
opened Oct 26, 2021 by
korymath
Yup, I'll add that to the conda create command python=3 or 3.8?
#44
opened Oct 26, 2021 by
komalsuryawanshi
How to solve these? both in Sim and BV, should we change the pip install -- r requirements?
#40
opened Jan 3, 2021 by
JiangPeiy
May want to try this: glorot_normal https://keras.io/initializers/ for the intiialization
#25
opened Mar 17, 2019 by
kylemath
How does number of features relate to number of data points relate to number of parameters?
#23
opened Mar 17, 2019 by
kylemath
Should start using logging instead of print, it will help in the long run.
#22
opened Mar 17, 2019 by
kylemath
worth trying xgboost on this problem, it is super fast/ tree based (descriptive) and powerful
#21
opened Mar 17, 2019 by
kylemath
Unbalanced classes. Stratified sampling. k-fold stratified cross validation helps
#20
opened Mar 17, 2019 by
kylemath
ProTip!
What’s not been updated in a month: updated:<2025-02-28.