Skip to content

Issues: gradhep/neos

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.

Sign up for GitHub

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

8 Open 2 Closed
8 Open 2 Closed
Author
Filter by author
Loading
Label
Filter by label
Loading
Use alt + click/return to exclude labels
or ⇧ + click/return for logical OR
Projects
Filter by project
Loading
Milestones
Filter by milestone
Loading
Assignee
Filter by who’s assigned
Sort
Sort by
Newest Oldest Most commented Least commented Recently updated Least recently updated Best match
Most reactions
👍 👎 😄 🎉 😕 ❤️ 🚀 👀

Issues list

Recommended neos setup
#20 opened Jan 2, 2021 by alexander-held
2
fix transforms
#19 opened Dec 20, 2020 by lukasheinrich
Update to new upcoming fax API
#16 opened Jul 31, 2020 by gehring
1
3
celluloid doesn't install with requirements
#12 opened Apr 28, 2020 by andrzejnovak
3
Develop a realistic use case enhancement New feature or request help wanted Extra attention is needed
#6 opened Mar 2, 2020 by phinate Realistic use case
Move to SciPy optimizers, made differentiable through jax.lax.custom_root dependencies Pull requests that update a dependency file enhancement New feature or request help wanted Extra attention is needed
#4 opened Mar 1, 2020 by phinate
4
Facilitate gradient interoperability between other ml frameworks (TensorFlow, Torch, etc) and jax enhancement New feature or request help wanted Extra attention is needed
#3 opened Mar 1, 2020 by phinate
2
Speed up training by making use of jax.jit enhancement New feature or request
#2 opened Mar 1, 2020 by phinate
@phinate
ProTip! Follow long discussions with comments:>50.